WO2019012832A1 - Traffic management device, traffic management system, and traffic management method - Google Patents

Traffic management device, traffic management system, and traffic management method Download PDF

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Publication number
WO2019012832A1
WO2019012832A1 PCT/JP2018/020685 JP2018020685W WO2019012832A1 WO 2019012832 A1 WO2019012832 A1 WO 2019012832A1 JP 2018020685 W JP2018020685 W JP 2018020685W WO 2019012832 A1 WO2019012832 A1 WO 2019012832A1
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WIPO (PCT)
Prior art keywords
vehicle sensor
information
traffic
unit
unit area
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PCT/JP2018/020685
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French (fr)
Japanese (ja)
Inventor
浩一郎 岩岡
雄三 弘津
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パナソニックＩｐマネジメント株式会社
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Publication of WO2019012832A1 publication Critical patent/WO2019012832A1/en

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    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/07—Controlling traffic signals
    • G08G1/08—Controlling traffic signals according to detected number or speed of vehicles

Definitions

  • the present invention relates to a traffic management apparatus, a traffic management system, and a traffic management method for managing traffic in a target area based on vehicle sensor information acquired by a vehicle sensor installed in the target area.
  • the traffic management system (traffic control system) carries out traffic management to properly distribute and guide traffic flows for the purpose of alleviating traffic congestion, reducing traffic accidents, and controlling traffic pollution.
  • Traffic signal control for controlling the signal controller installed at the intersection based on the traffic condition of the road network, traffic information representing the traffic condition, and the like. For example, traffic information is provided to a driver of a vehicle by displaying information on traffic congestion, travel time, etc. on a traffic information board installed on a road.
  • Such traffic management relies on information collected by the vehicle sensors, and for proper traffic management, it is necessary to install the vehicle sensors at a certain density on the road network.
  • the number of vehicle detectors that have been developed to date has reached a huge number, and the operation and maintenance of the vehicle detectors has become a very expensive situation, and under the recent severe financial conditions in the country and prefectures. Is becoming a serious problem. Therefore, there is a need for a technology capable of performing traffic management with practically sufficient accuracy even in a state where the number of installed vehicle detectors is reduced by reducing the number of installed vehicle detectors.
  • a unit area is set in a target area, and estimation processing using a traffic flow model is performed on the unit area based on vehicle sensor information and signal control result information.
  • estimation processing using a traffic flow model is performed on the unit area based on vehicle sensor information and signal control result information.
  • There is known a technology for performing traffic management based on information on traffic conditions in each unit area by estimating the traffic conditions in the unit area see Patent Document 1).
  • the unit area is set so that the vehicle sensor is arranged at the boundary position, and the traffic condition in the unit area is estimated, whereby the vehicle in the unit area is Detectors can be eliminated.
  • traffic management such as signal control is performed using vehicle sensor information from an existing vehicle sensor as input information. For this reason, when the existing vehicle detector is abolished, it is necessary to change the control contents of traffic management significantly, and there is a problem that the cost becomes enormous.
  • the present invention mainly provides a traffic management apparatus, a traffic management system, and a traffic management method capable of reducing vehicle detectors without significantly changing traffic management control contents such as signal control. To aim.
  • the traffic management apparatus is a traffic management apparatus that performs traffic management in a target area based on vehicle sensor information acquired by a vehicle sensor installed in the target area, and A communication unit that receives vehicle sensor information; and a control unit that performs information processing related to traffic management in the target area based on the vehicle sensor information, the control unit being in the target area A unit area is set, and an estimation process using a traffic flow model is performed on the unit area based on the vehicle sensor information and signal control result information on a signal controller installed in the target area.
  • a vehicle sensor is installed at a predetermined position in the unit area
  • a traffic management system comprises a vehicle sensor installed in a target area, and a traffic management device that performs traffic management in the target area based on vehicle sensor information acquired by the vehicle sensor.
  • a traffic management system including: a communication unit for receiving the vehicle sensor information from the vehicle sensor; and the traffic management in the target area based on the vehicle sensor information.
  • a control unit that performs information processing, the control unit sets a unit area in the target area, the vehicle sensor information, and signal control result information on a signal controller installed in the target area And performing estimation processing using the traffic flow model on the basis of the unit area to obtain information on the traffic condition in the unit area, and Based on the information, a configuration for generating a virtual vehicle detectors information handled as acquired by the virtual vehicle detectors regarded as vehicle detector is installed at a predetermined position of the unit area.
  • the traffic management method is a traffic management method for performing traffic management in a target area based on vehicle sensor information acquired by a vehicle sensor installed in the target area in the traffic management device. And setting a unit area in the target area, using a traffic flow model for the unit area based on the vehicle sensor information and signal control result information on a signal controller installed in the target area. Performing an estimation process to obtain information on traffic conditions in the unit area, and based on the information on traffic conditions in the unit area, assuming that a vehicle sensor is installed at a predetermined position in the unit area Generate virtual vehicle sensor information to be handled as acquired by a vehicle sensor, and based on the vehicle sensor information and the virtual vehicle sensor information A configuration for generating a signal control information for controlling the signal controller.
  • virtual vehicle sensor information to be handled as collected by a virtual vehicle sensor set at a predetermined position in a unit area is generated.
  • FIG. 1 is an overall configuration diagram of a traffic management system according to the present embodiment.
  • FIG. 2 is a block diagram showing a schematic configuration of the traffic management device 3.
  • FIG. 3 is a flowchart showing the procedure of processing performed by the traffic management device 3.
  • FIG. 4 is an explanatory view showing an example of a unit area set by the unit area setting unit 52.
  • FIG. 5A is an explanatory view showing an example of the arrangement of the vehicle sensor 1 and the virtual vehicle sensor.
  • FIG. 5B is an explanatory view showing an example of the arrangement of the vehicle sensor 1 and the virtual vehicle sensor.
  • FIG. 6 is a flowchart showing the procedure of the process performed by the unit area setting unit 52.
  • FIG. 5A is an explanatory view showing an example of the arrangement of the vehicle sensor 1 and the virtual vehicle sensor.
  • FIG. 5B is an explanatory view showing an example of the arrangement of the vehicle sensor 1 and the virtual vehicle sensor.
  • FIG. 6 is a flowchart showing the procedure of the process performed by the
  • FIG. 7A is an explanatory diagram for explaining an example of a traffic flow model used by the traffic condition estimation unit 53.
  • FIG. 7B is an explanatory diagram for explaining an example of a traffic flow model used by the traffic condition estimation unit 53.
  • FIG. 7C is an explanatory diagram for explaining an example of a traffic flow model used by the traffic condition estimation unit 53.
  • FIG. 8 is a flowchart showing the procedure of processing performed by the traffic condition estimation unit 53.
  • FIG. 9 is an explanatory view showing the traffic situation detailed information acquired by the traffic situation estimation unit 53. As shown in FIG.
  • a first invention made to solve the above-mentioned problems is a traffic management device for performing traffic management in a target area based on vehicle sensor information acquired by a vehicle sensor installed in the target area,
  • a communication unit that receives the vehicle sensor information from the vehicle sensor; and a control unit that performs information processing related to traffic management in the target area based on the vehicle sensor information;
  • the estimation process used is performed to obtain information on the traffic condition in the unit area, and a car is placed at a predetermined position in the unit area based on the information on the traffic condition in the unit area.
  • Sensor is configured to generate a virtual vehicle detectors information handled as acquired by the virtual vehicle detectors considered to have been installed.
  • virtual vehicle sensor information to be treated as collected by a virtual vehicle sensor set at a predetermined position in the unit area is generated.
  • control unit acquires, as the virtual vehicle sensor information, the traffic volume and the occupancy rate at the position where the virtual vehicle sensor is set.
  • traffic management such as signal control can be appropriately performed.
  • control unit may be arranged such that the vehicle sensor is disposed at a boundary position, and information on traffic flowing into the unit area can be acquired by the vehicle sensor. Is set up.
  • control unit sets the virtual vehicle sensor at a position of a vehicle sensor to be discontinued installed in the unit area.
  • Vehicle sensors can be reduced.
  • control unit generates signal control information for controlling the signal controller based on the virtual vehicle sensor information, and the communication unit performs the signal control information. It is configured to transmit to the signal controller.
  • control unit determines the unit area based on information on an installation state of the vehicle sensor in the target area and information on a configuration of a road network in the target area. I assume.
  • an appropriate unit area can be determined. Then, since the traffic management device itself determines the unit area, it is possible to save time and effort for the user to determine the unit area, and the convenience of the user can be enhanced.
  • the process of setting the unit area based on the information on the unit area input by the user after the user determines the unit area may be performed by the unit area setting unit.
  • control unit estimates the traffic situation in the unit area based on the vehicle sensor information, the signal control result information, and information on the configuration of the road network in the unit area. Configuration.
  • An eighth invention comprises a vehicle sensor installed in a target area, and a traffic management device for managing traffic in the target area based on vehicle sensor information acquired by the vehicle sensor.
  • a traffic management system wherein the traffic management device is a communication unit that receives the vehicle sensor information from the vehicle sensor, and information processing related to traffic management in the target area based on the vehicle sensor information.
  • Control unit configured to set a unit area in the target area, and based on the vehicle sensor information and signal control result information on a signal controller installed in the target area. And performing an estimation process using a traffic flow model for the unit area to obtain information on the traffic situation in the unit area, and based on the information on the traffic situation in the unit area.
  • a configuration for generating a virtual vehicle detectors information handled as acquired by the virtual vehicle detectors regarded as vehicle detector is installed at a predetermined position of the unit area.
  • a ninth invention is a traffic management method for traffic management in a target area, based on vehicle sensor information acquired by a vehicle sensor installed in the target area, in the traffic management apparatus, A unit area is set in a target area, and an estimation using a traffic flow model is performed on the unit area based on the vehicle sensor information and signal control result information on a signal controller installed in the target area.
  • a virtual vehicle sensing process is performed to obtain information on traffic conditions in the unit area, and based on the information on traffic conditions in the unit area, a vehicle sensor is considered to be installed at a predetermined position in the unit area Generating virtual vehicle sensor information to be handled as acquired by the device, and based on the vehicle sensor information and the virtual vehicle sensor information, A configuration for generating a signal control information for controlling the control machine.
  • FIG. 1 is an overall configuration diagram of a traffic management system according to the present embodiment.
  • the traffic management system (traffic control system) includes a vehicle sensor 1, a signal controller 2, and a traffic management device 3.
  • the vehicle sensor 1 is, for example, an ultrasonic vehicle sensor and an optical vehicle sensor (light beacon), etc., and senses a vehicle on a road to indicate vehicle traffic on the road. Generate the amount and the occupancy rate).
  • the vehicle sensor information is transmitted from the vehicle sensor 1 to the traffic management device 3.
  • the signal controller 2 controls the operation of the signal light based on the signal control information transmitted from the traffic management device 3.
  • the traffic management device 3 is a central device of the traffic control system, and generates signal control information for controlling the signal controller 2 based on the vehicle sensor information transmitted from the vehicle sensor 1, and Generate traffic information in the area.
  • FIG. 2 is a block diagram showing a schematic configuration of the traffic management device 3.
  • the traffic management device 3 includes a first traffic management unit 11 and a second traffic management unit 12.
  • the first traffic management unit 11 realizes an existing function related to traffic management
  • the second traffic management unit 12 realizes a new function related to traffic management. With such a configuration, it is possible to add a new function to the traffic management device 3 without modifying the existing components of the traffic management device 3.
  • the first traffic management unit 11 includes a communication unit 21, a control unit 22, and a storage unit 23.
  • the communication unit 21 communicates with the vehicle sensor 1 and the signal controller 2, receives vehicle sensor information transmitted from the vehicle sensor 1, and transmits signal control information to the signal controller 2.
  • the storage unit 23 stores vehicle sensor information, signal control result information, vehicle sensor arrangement information, and road network configuration information. In addition, the storage unit 23 stores a program executed by a processor that configures the control unit 22.
  • the vehicle sensor information is information representing the traffic condition of the vehicle collected by the vehicle sensor 1. Specifically, the traffic volume, that is, the position of the vehicle sensor 1 every unit time (for example, 5 minutes) It is the number of vehicles that have passed, the occupancy rate (time occupancy rate), that is, the ratio of the time during which the vehicle is present at the position of the vehicle sensor 1 within a unit time.
  • the traffic volume that is, the position of the vehicle sensor 1 every unit time (for example, 5 minutes) It is the number of vehicles that have passed, the occupancy rate (time occupancy rate), that is, the ratio of the time during which the vehicle is present at the position of the vehicle sensor 1 within a unit time.
  • the signal control result information is signal control information (signal control parameter and actual value of each step (step)) used in signal control in the past and present operation.
  • the signal control information is information of signal control parameters which is an element determining the display timing of the traffic signal, and specifically, a control command having a cycle length, a split, an offset, an intersection number as a reference of the offset, and the like.
  • It is control execution information configured of information, the number of seconds executed for each step (step), the number of an intersection, and the like.
  • the vehicle sensor arrangement information is information on the position at which the vehicle sensor 1 is installed. Specifically, the number of the link at which the vehicle sensor 1 is installed, the distance from the end of the link to the vehicle sensor 1, etc. It is.
  • the road network configuration information is information on the connection form of nodes and links constituting the road network, the number of lanes of each link, etc. Specifically, as information on links (roads), link number, number of lanes, link The length, presence or absence of additional lanes by direction (right-turning lanes, etc.), length, etc. In addition, information on nodes (intersections) includes node numbers, information on the relationship between signal appearance and passing right inflow path, etc. .
  • the control unit 22 includes a signal control information generation unit 31.
  • the control unit 22 is configured of a single or a plurality of processors, and the signal control information generation unit 31 is realized by causing the processor to execute a program stored in the storage unit 23.
  • the signal control information generation unit 31 controls the signal controller 2 based on the vehicle sensor information acquired from the vehicle sensor 1 and the virtual vehicle sensor information acquired by the second traffic management unit 12. Generate signal control information. Specifically, signal control parameters (cycle length, split and offset) are calculated.
  • the second traffic management unit 12 includes a control unit 41 and a storage unit 42.
  • the storage unit 42 includes vehicle sensor information, signal control result information, vehicle sensor arrangement information, road network configuration information, traffic condition estimation setting information, unit area definition information, virtual vehicle sensor information generation setting information, traffic condition Store detailed information, virtual vehicle sensor information, and signal control information.
  • the storage unit 42 stores a program executed by a processor that configures the control unit 41.
  • the setting information for traffic condition estimation is information on various conditions required when estimating the traffic condition. Specifically, it is an estimation period when estimating the traffic condition, that is, a period of information (vehicle sensor information and signal control result information) input when estimating the traffic condition.
  • the setting information for traffic condition estimation is a parameter of the traffic flow model, for example, traffic flow rate of links and nodes (number of vehicles passing per unit time), legal speed of each link, and number of lanes in each link , Lane width and right turn lane information.
  • the unit area definition information is information on a unit area serving as a unit for estimating the traffic situation. Specifically, the unit area number (identification information), the link number included in the unit area, the intersection included in the unit area And the like.
  • the setting information for virtual vehicle sensor information generation is information regarding various conditions required when generating virtual vehicle sensor information.
  • This information is position information of the virtual vehicle sensor, specifically, a link number (identification information) on which the virtual vehicle sensor is set, a position from the end of the link, and the like.
  • this information is a collection period when generating virtual vehicle sensor information, that is, a period used to generate virtual vehicle sensor information among traffic condition detailed information output as a result of traffic condition estimation. is there.
  • the traffic condition detailed information is information on the estimation result of the traffic condition, and is information indicating the traveling locus of each vehicle, that is, the temporal transition condition of the position of each vehicle (the position of each vehicle at each time) Specifically, for example, the vehicle ID for each vehicle, the passing time, the passing position (link number, distance from the link end, etc.), and the like.
  • the virtual vehicle sensor information is information handled as collected by the virtual vehicle sensor set at a predetermined position, and specifically, like the vehicle sensor information, the traffic volume and occupancy rate, etc. .
  • the signal control information is signal control parameters (cycle length, split and offset) for controlling the signal controller 2.
  • the control unit 41 includes an input information acquisition unit 51, a unit area setting unit 52, a traffic condition estimation unit 53, and a virtual vehicle sensor information generation unit 54.
  • the control unit 41 is configured of a single or a plurality of processors, and each unit of the control unit 41 is realized by executing a program stored in the storage unit 42 by the processor.
  • the input information acquisition unit 51 collects necessary information from the first traffic management unit 11, and in the present embodiment, vehicle sensor information, signal control result information, and vehicles from the first traffic management unit 11 The sensor arrangement information and the road network configuration information are acquired, and the information is stored in the storage unit 42.
  • Unit area setting unit 52 is a unit area serving as a unit when traffic condition estimation unit 53 estimates the traffic condition in the target area based on the vehicle sensor arrangement information and road network configuration information of storage unit 42 (see FIG. Set 4).
  • the traffic situation estimation unit 53 performs an estimation process using a traffic flow model based on the traffic situation estimation setting information of the storage unit 42, estimates the traffic situation in the unit area, and provides detailed traffic situation information (see FIG. 9). ), Specifically, information indicating the traveling track of each vehicle, that is, the temporal transition of the position of each vehicle is generated.
  • the virtual vehicle sensor information generation unit 54 is virtual vehicle sensor information to be treated as collected by a virtual vehicle sensor set at a predetermined position based on the traffic condition detailed information acquired by the traffic condition estimation unit 53 ( Generate traffic and occupancy).
  • FIG. 3 is a flowchart showing the procedure of processing performed by the traffic management device 3.
  • the traffic management device 3 first, in the input information acquisition unit 51 of the second traffic management unit 12, vehicle sensor information, signal control result information, vehicle sensor arrangement information, and roads from the first traffic management unit 11 The network configuration information is acquired, and the information is stored in the storage unit 42 (ST101).
  • the unit area setting unit 52 sets a unit area in the target area based on the vehicle sensor arrangement information and the road network configuration information of the storage unit 42 (ST102).
  • the traffic condition estimation unit 53 estimates the traffic condition in the unit area using the traffic flow model based on the traffic condition estimation setting information of the storage unit 42, and generates traffic condition detailed information (ST103) ).
  • virtual vehicle sensor information generation unit 54 generates virtual vehicle sensor information based on the traffic condition detail information acquired by traffic condition estimation unit 53 (ST104).
  • FIG. 4 is an explanatory view showing an example of a unit area set by the unit area setting unit 52. As shown in FIG. 4
  • Unit area setting unit 52 sets a unit area serving as a unit when traffic condition estimation unit 53 estimates a traffic condition in the target area, and traffic condition estimation unit 53 sets a traffic area for this unit area. Traffic conditions are estimated using a model.
  • the road network is composed of nodes (intersections) and links (roads) connecting the nodes, and a vehicle sensor 1 is installed on the links. Moreover, the signal controller 2 which is not shown in figure is installed in the node as needed.
  • the unit area is set so that the traffic condition in the unit area can be estimated.
  • the vehicle sensor 1 is disposed at the boundary position of the unit area, and the unit area is set so that the traffic volume flowing into the unit area can be measured. That is, the vehicle sensor 1 is disposed at the link located at the boundary of the unit area, and the unit area is set so that the inflow amount (inward traffic volume) can be measured for each link located at the boundary Ru.
  • the traffic condition in the unit area can be estimated by the estimation process using the traffic flow model. It becomes possible, and the outflow from the unit area can be obtained as an estimation result by estimation processing using a traffic flow model.
  • the inflow volume may be given by a constant based on the actual traffic volume value acquired in the field survey, and it should be adjusted with the parameters of the traffic flow model Even in this case, the traffic situation in the unit area can be estimated with sufficient accuracy for practical use.
  • 5A and 5B are explanatory diagrams showing an example of the arrangement of the vehicle sensor 1 and the virtual vehicle sensor.
  • a unit area is set so that the vehicle sensor 1 is arranged at the boundary position, and the traffic condition in the unit area is estimated. This makes it possible to acquire the traffic situation at any position in the unit area. Therefore, although the vehicle sensor 1 at the boundary position is necessary, the vehicle sensor 1 located inside the unit area is not necessary. For this reason, when there is no existing vehicle sensor 1 at the boundary position, the vehicle sensor 1 can be newly installed at that position, and the vehicle sensor 1 located inside the unit area can be eliminated.
  • a virtual vehicle sensor is set at a position where the vehicle sensor 1 to be discontinued is installed, and virtual vehicle sensor information that can be handled as collected by the virtual vehicle sensor is , Based on the estimated traffic conditions. As a result, the number of vehicle sensors 1 can be reduced without significantly changing the control content of signal control.
  • the vehicle sensor 1 when the existing vehicle sensor 1 exists, as shown to FIG. 5B, if a unit area is set, the vehicle sensor 1 of a boundary position will be left among the existing vehicle sensors 1, The vehicle sensor 1 located inside the unit area is abolished and the virtual vehicle sensor is set at that position. Also, if there is no vehicle sensor 1 at the boundary position, the vehicle sensor 1 is newly installed at that position.
  • intersections shown in FIGS. 5A and 5B are intersections where traffic communication occurs between the horizontal (east-west) inflow path and the vertical (north-south) inflow path, and the minimum unit for generating signal control parameters One is set in the sub area.
  • the vehicle sensor 1 is installed also in the vertical inflow path which becomes a secondary road other than the horizontal inflow path which becomes a main road in this important intersection.
  • the vehicle sensors 1 located inside the unit area may leave the vehicle sensors 1 related to the important intersection.
  • FIG. 6 is a flowchart showing the procedure of the process performed by the unit area setting unit 52.
  • the arrangement situation of the existing vehicle sensor 1 is confirmed (ST201). Further, based on the road network configuration information of the storage unit 42, the configuration of the road network is confirmed (ST202).
  • the range of the unit area which is a unit for estimating the traffic situation is determined, and the unit area related to the range of the unit area Definition information is generated (ST 204).
  • the vehicle sensor 1 is disposed at the boundary position of the unit area, and the unit area is set such that the traffic volume flowing into the unit area can be obtained by the vehicle sensor 1.
  • FIG. 7A, FIG. 7B, and FIG. 7C are explanatory drawings explaining an example of the traffic flow model used by the traffic condition estimation part 53.
  • FIG. 7A illustrates blocks set as links (roads)
  • FIG. 7B is a graph showing a traffic volume-density curve
  • FIG. 7C shows movement of traffic density between adjacent blocks. The situation is schematically represented.
  • the traffic situation estimation unit 53 estimates the traffic situation in the unit area by estimation processing using a traffic flow model for the unit area.
  • AVENUE an Advanced & Visual Evaluator for Road Networks in Urban arEas
  • AVENUE an Advanced & Visual Evaluator for Road Networks in Urban arEas
  • FIGS. 7A, 7B, and 7C illustrate block density methods used in AVENUE.
  • this block density method as shown in FIG. 7A, blocks are set at equal intervals in links (roads), Express the traffic situation with the number of vehicles present in each block.
  • a link connecting two intersections has two lanes, and blocks are set in each lane.
  • a traffic volume-density curve determined by the traffic volume (link volume) Qc of the link, jam density Kj and free flow velocity Vf is set, and this traffic volume-density curve is set.
  • the flow rate (moving traffic volume) Q i + 1, i between the adjacent upstream block i + 1 and the downstream block i is determined.
  • the possible outflow amount A out i + 1 and the inflowable amount A in i of each block are determined from the density of each block, and the minimum value is determined between the blocks It is assumed that the flow rate Q i + 1, i .
  • the calculation of the flow rate between adjacent blocks is performed for all blocks.
  • the block density method can calculate the traffic volume on each link, but in addition, the hybrid block density method combining discrete queuing models with this block density method allows the travel situation of the vehicle to be calculated. Can be reproduced one by one, and also the route selection behavior of the driver can be taken in, whereby the traffic situation of each link can be estimated in detail.
  • FIG. 8 is a flowchart showing the procedure of processing performed by the traffic condition estimation unit 53. As shown in FIG. 8
  • estimate input information that is, vehicle sensor information in the estimation period and signal control result information
  • the traffic flow model is applied to estimate the traffic situation in the unit area in the estimation period (ST 304).
  • the estimation input information is sequentially applied to the traffic flow model from the estimation time T1, and the estimation result in the estimation period N1 is acquired. This estimation process is performed for each unit area, the estimation result for each unit area is obtained, and the estimation results for all target unit areas are stored in the storage unit 42 as traffic condition detailed information.
  • FIG. 9 is an explanatory view showing the traffic situation detailed information acquired by the traffic situation estimation unit 53. As shown in FIG. 9
  • the traffic situation estimation unit 53 estimates the traffic situation by estimation processing using a traffic flow model, and as a result, detailed traffic situation information as shown in FIG. 9 can be obtained.
  • the traffic condition detailed information represents the traveling trajectory of each vehicle, that is, the temporal transition of the position of each vehicle.
  • the virtual vehicle sensor information generation unit 54 generates virtual vehicle sensor information based on the traffic condition detailed information shown in FIG. In the present embodiment, the traffic volume and occupancy rate of the position where the virtual vehicle sensor is set are acquired as virtual vehicle sensor information.
  • virtual vehicle detectors are set to the links L2, L5 and L7, and the virtual vehicle detectors are Virtual vehicle sensor information (traffic volume and occupancy rate) corresponding to each virtual vehicle sensor is generated from the traffic condition detail information of the set position.
  • virtual vehicle sensor information at time T is generated from traffic condition detailed information in a collection period based on the time T, specifically, a period retroactive to a predetermined time from the time T.
  • the collection period may be a unit time of traffic management (for example, 5 minutes) or an integral multiple thereof.
  • the traffic condition detailed information shown in FIG. 9 is a reproduction of the traveling condition of each vehicle, and it is possible to grasp the behavior of each vehicle, and in particular, pay attention to the position where the virtual vehicle sensor is set. Thus, it is possible to grasp how the vehicle has passed the position of the virtual vehicle sensor. As a result, it is possible to acquire the traffic volume at the position of the virtual vehicle sensor, that is, the number of vehicles having passed within the unit time. In addition, it is possible to obtain an occupancy rate (time occupancy rate) at the position of the virtual vehicle sensor, that is, a ratio of time during which a vehicle is present in unit time.
  • the embodiment has been described as an example of the technology disclosed in the present application.
  • the technology in the present disclosure is not limited to this, and can be applied to embodiments in which changes, replacements, additions, omissions, and the like have been made.
  • signal control is performed using virtual vehicle sensor information acquired from the estimation result of traffic conditions, but traffic provided to the driver of a vehicle using virtual vehicle sensor information Information may be generated. Also in this case, as in the case of signal control, it is possible to reduce the number of vehicle sensors without significantly changing the current control content for generating traffic information.
  • the virtual vehicle sensor information regarding the virtual vehicle sensor is set by setting the virtual vehicle sensor to be substituted for the existing vehicle sensor.
  • the virtual vehicle sensor is set at a position different from the existing vehicle detectors, and the virtual vehicle is generated. Control may be performed based on virtual vehicle sensor information on a sensor and vehicle sensor information from an existing vehicle sensor.
  • the traffic management apparatus is divided into a first traffic management unit that realizes an existing function related to traffic management and a second traffic management unit that realizes a new function related to traffic management. It is configured to add a new function to the existing function, but the function of the first traffic management unit and the function of the second traffic management unit are put together into one existing device (first traffic management).
  • the traffic management device may be configured to replace the traffic management device.
  • the traffic management apparatus itself determines the range of the unit area, but the user determines the range of the unit area, and the unit area is determined based on the information on the unit area input by the user.
  • the process of setting the may be performed by the traffic management device.
  • a traffic management apparatus, a traffic management system, and a traffic management method according to the present invention have the effect of being able to reduce the number of vehicle detectors without significantly changing the control content of traffic management such as signal control, and a target area It is useful as a traffic management apparatus, a traffic management system, a traffic management method, etc. that performs traffic management in a target area based on vehicle sensor information acquired by a vehicle sensor installed inside.

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Abstract

A unit area is set within a designated area, estimation processing using a traffic flow model is performed with a focus on the unit area on the basis of vehicle sensor information, and signal control record information relating to a signal control device installed within the designated area. Information relating to traffic status inside the unit area is acquired, and virtual vehicle sensor information is generated on the basis of the information relating to the traffic status of the unit area, the virtual vehicle sensor information being handled as information acquired by a virtual vehicle sensor regarded as having a vehicle sensor installed at a predetermined position within the unit area. In particular, signal control information for controlling the signal control device is generated on the basis of the virtual vehicle sensor information.

Description

交通管理装置、交通管理システムおよび交通管理方法Traffic management device, traffic management system and traffic management method
　本発明は、対象エリア内に設置された車両感知器により取得した車両感知器情報に基づいて、対象エリア内の交通管理を行う交通管理装置、交通管理システムおよび交通管理方法に関するものである。 The present invention relates to a traffic management apparatus, a traffic management system, and a traffic management method for managing traffic in a target area based on vehicle sensor information acquired by a vehicle sensor installed in the target area.
　交通管理システム（交通管制システム）では、交通渋滞の緩和、交通事故の減少および交通公害の抑制などを目的として、交通流の配分および誘導を適切に行うための交通管理が行われており、具体的には、対象とする道路網の交通状況を把握して、その道路網の交通状況に基づいて、交差点に設置された信号制御機を制御する交通信号制御や、交通状況を表す交通情報、例えば渋滞や旅行時間などに関する情報を、道路に設置された交通情報板に表示して、車両の運転者に提供する交通情報提供が行われている。 The traffic management system (traffic control system) carries out traffic management to properly distribute and guide traffic flows for the purpose of alleviating traffic congestion, reducing traffic accidents, and controlling traffic pollution. Traffic signal control for controlling the signal controller installed at the intersection based on the traffic condition of the road network, traffic information representing the traffic condition, and the like. For example, traffic information is provided to a driver of a vehicle by displaying information on traffic congestion, travel time, etc. on a traffic information board installed on a road.
　このような交通管理は、車両感知器で収集される情報に依存しており、交通管理を適切に行うには、道路網にある程度の密度で車両感知器を設置する必要がある。このため、これまでに整備された車両感知器が膨大な数に達し、車両感知器の運用維持に莫大な費用を要する状況となっており、国および都道府県における近年の厳しい財政状況のもとで深刻な問題となりつつある。そこで、車両感知器の設置数を削減して、車両感知器の設置数が少ない状態でも、実用上十分な精度で交通管理を行うことができる技術が望まれる。 Such traffic management relies on information collected by the vehicle sensors, and for proper traffic management, it is necessary to install the vehicle sensors at a certain density on the road network. As a result, the number of vehicle detectors that have been developed to date has reached a huge number, and the operation and maintenance of the vehicle detectors has become a very expensive situation, and under the recent severe financial conditions in the country and prefectures. Is becoming a serious problem. Therefore, there is a need for a technology capable of performing traffic management with practically sufficient accuracy even in a state where the number of installed vehicle detectors is reduced by reducing the number of installed vehicle detectors.
　このような要望に対して、従来、対象エリア内に単位エリアを設定して、車両感知器情報および信号制御実績情報に基づいて、単位エリアを対象として交通流モデルを用いた推計処理を行って、単位エリア内の交通状況を推計して、その単位エリアごとの交通状況に関する情報に基づいて、交通管理を行う技術が知られている（特許文献１参照）。 In response to such a request, conventionally, a unit area is set in a target area, and estimation processing using a traffic flow model is performed on the unit area based on vehicle sensor information and signal control result information. There is known a technology for performing traffic management based on information on traffic conditions in each unit area by estimating the traffic conditions in the unit area (see Patent Document 1).
特開２０１６－６２４８３号公報JP, 2016-62483, A
　さて、前記従来の技術では、境界位置に車両感知器が配置されるように単位エリアを設定して、その単位エリア内の交通状況を推計するようにしており、これにより、単位エリア内の車両感知器を廃止することができる。一方、交通管理システムでは、既設の車両感知器による車両感知器情報を入力情報として信号制御などの交通管理が行われている。このため、既設の車両感知器を廃止すると、交通管理の制御内容を大幅に変更する必要が生じ、費用が莫大になるという課題があった。 By the way, in the above-mentioned prior art, the unit area is set so that the vehicle sensor is arranged at the boundary position, and the traffic condition in the unit area is estimated, whereby the vehicle in the unit area is Detectors can be eliminated. On the other hand, in the traffic management system, traffic management such as signal control is performed using vehicle sensor information from an existing vehicle sensor as input information. For this reason, when the existing vehicle detector is abolished, it is necessary to change the control contents of traffic management significantly, and there is a problem that the cost becomes enormous.
　そこで、本発明は、信号制御などの交通管理の制御内容を大幅に変更することなく、車両感知器を削減することができる交通管理装置、交通管理システムおよび交通管理方法を提供することを主な目的とする。 Therefore, the present invention mainly provides a traffic management apparatus, a traffic management system, and a traffic management method capable of reducing vehicle detectors without significantly changing traffic management control contents such as signal control. To aim.
　本発明の交通管理装置は、対象エリア内に設置された車両感知器により取得した車両感知器情報に基づいて、対象エリア内の交通管理を行う交通管理装置であって、前記車両感知器から前記車両感知器情報を受信する通信部と、前記車両感知器情報に基づいて、前記対象エリア内の交通管理に係る情報処理を行う制御部と、を備え、前記制御部は、前記対象エリア内に単位エリアを設定し、前記車両感知器情報、および前記対象エリア内に設置された信号制御機に関する信号制御実績情報に基づいて、前記単位エリアを対象として交通流モデルを用いた推計処理を行って、前記単位エリア内の交通状況に関する情報を取得し、前記単位エリアの交通状況に関する情報に基づいて、前記単位エリア内の所定の位置に車両感知器が設置されたとみなす仮想車両感知器により取得したものとして取り扱う仮想車両感知器情報を生成する構成とする。 The traffic management apparatus according to the present invention is a traffic management apparatus that performs traffic management in a target area based on vehicle sensor information acquired by a vehicle sensor installed in the target area, and A communication unit that receives vehicle sensor information; and a control unit that performs information processing related to traffic management in the target area based on the vehicle sensor information, the control unit being in the target area A unit area is set, and an estimation process using a traffic flow model is performed on the unit area based on the vehicle sensor information and signal control result information on a signal controller installed in the target area. Acquiring information on the traffic condition in the unit area, and based on the information on the traffic condition in the unit area, a vehicle sensor is installed at a predetermined position in the unit area A configuration for generating a virtual vehicle detectors information handled as one obtained by forming a virtual vehicle detector.
　また、本発明の交通管理システムは、対象エリア内に設置された車両感知器と、この車両感知器により取得した車両感知器情報に基づいて、対象エリア内の交通管理を行う交通管理装置と、を備える交通管理システムであって、前記交通管理装置は、前記車両感知器から前記車両感知器情報を受信する通信部と、前記車両感知器情報に基づいて、前記対象エリア内の交通管理に係る情報処理を行う制御部と、を備え、前記制御部は、前記対象エリア内に単位エリアを設定し、前記車両感知器情報、および前記対象エリア内に設置された信号制御機に関する信号制御実績情報に基づいて、前記単位エリアを対象として交通流モデルを用いた推計処理を行って、前記単位エリア内の交通状況に関する情報を取得し、前記単位エリアの交通状況に関する情報に基づいて、前記単位エリア内の所定の位置に車両感知器が設置されたとみなす仮想車両感知器により取得したものとして取り扱う仮想車両感知器情報を生成する構成とする。 Further, a traffic management system according to the present invention comprises a vehicle sensor installed in a target area, and a traffic management device that performs traffic management in the target area based on vehicle sensor information acquired by the vehicle sensor. A traffic management system including: a communication unit for receiving the vehicle sensor information from the vehicle sensor; and the traffic management in the target area based on the vehicle sensor information. A control unit that performs information processing, the control unit sets a unit area in the target area, the vehicle sensor information, and signal control result information on a signal controller installed in the target area And performing estimation processing using the traffic flow model on the basis of the unit area to obtain information on the traffic condition in the unit area, and Based on the information, a configuration for generating a virtual vehicle detectors information handled as acquired by the virtual vehicle detectors regarded as vehicle detector is installed at a predetermined position of the unit area.
　また、本発明の交通管理方法は、交通管理装置において、対象エリア内に設置された車両感知器により取得した車両感知器情報に基づいて、対象エリア内の交通管理を行う交通管理方法であって、前記対象エリア内に単位エリアを設定し、前記車両感知器情報、および前記対象エリア内に設置された信号制御機に関する信号制御実績情報に基づいて、前記単位エリアを対象として交通流モデルを用いた推計処理を行って、前記単位エリア内の交通状況に関する情報を取得し、前記単位エリアの交通状況に関する情報に基づいて、前記単位エリア内の所定の位置に車両感知器が設置されたとみなす仮想車両感知器により取得したものとして取り扱う仮想車両感知器情報を生成し、前記車両感知器情報および前記仮想車両感知器情報に基づいて、前記信号制御機を制御する信号制御情報を生成する構成とする。 The traffic management method according to the present invention is a traffic management method for performing traffic management in a target area based on vehicle sensor information acquired by a vehicle sensor installed in the target area in the traffic management device. And setting a unit area in the target area, using a traffic flow model for the unit area based on the vehicle sensor information and signal control result information on a signal controller installed in the target area. Performing an estimation process to obtain information on traffic conditions in the unit area, and based on the information on traffic conditions in the unit area, assuming that a vehicle sensor is installed at a predetermined position in the unit area Generate virtual vehicle sensor information to be handled as acquired by a vehicle sensor, and based on the vehicle sensor information and the virtual vehicle sensor information A configuration for generating a signal control information for controlling the signal controller.
　本発明によれば、単位エリア内の所定の位置に設定された仮想車両感知器により収集したものとして取り扱う仮想車両感知器情報を生成する。これにより、信号制御などの交通管理の制御内容を大幅に変更することなく、車両感知器を削減することができる。 According to the present invention, virtual vehicle sensor information to be handled as collected by a virtual vehicle sensor set at a predetermined position in a unit area is generated. As a result, it is possible to reduce the number of vehicle detectors without significantly changing the control content of traffic management such as signal control.
図１は、本実施形態に係る交通管理システムの全体構成図である。FIG. 1 is an overall configuration diagram of a traffic management system according to the present embodiment. 図２は、交通管理装置３の概略構成を示すブロック図である。FIG. 2 is a block diagram showing a schematic configuration of the traffic management device 3. 図３は、交通管理装置３で行われる処理の手順を示すフロー図である。FIG. 3 is a flowchart showing the procedure of processing performed by the traffic management device 3. 図４は、単位エリア設定部５２で設定される単位エリアの一例を示す説明図である。FIG. 4 is an explanatory view showing an example of a unit area set by the unit area setting unit 52. As shown in FIG. 図５Ａは、車両感知器１および仮想車両感知器の配置状況の一例を示す説明図である。FIG. 5A is an explanatory view showing an example of the arrangement of the vehicle sensor 1 and the virtual vehicle sensor. 図５Ｂは、車両感知器１および仮想車両感知器の配置状況の一例を示す説明図である。FIG. 5B is an explanatory view showing an example of the arrangement of the vehicle sensor 1 and the virtual vehicle sensor. 図６は、単位エリア設定部５２で行われる処理の手順を示すフロー図である。FIG. 6 is a flowchart showing the procedure of the process performed by the unit area setting unit 52. 図７Ａは、交通状況推計部５３で用いられる交通流モデルの一例を説明する説明図である。FIG. 7A is an explanatory diagram for explaining an example of a traffic flow model used by the traffic condition estimation unit 53. 図７Ｂは、交通状況推計部５３で用いられる交通流モデルの一例を説明する説明図である。FIG. 7B is an explanatory diagram for explaining an example of a traffic flow model used by the traffic condition estimation unit 53. 図７Ｃは、交通状況推計部５３で用いられる交通流モデルの一例を説明する説明図である。FIG. 7C is an explanatory diagram for explaining an example of a traffic flow model used by the traffic condition estimation unit 53. 図８は、交通状況推計部５３で行われる処理の手順を示すフロー図である。FIG. 8 is a flowchart showing the procedure of processing performed by the traffic condition estimation unit 53. As shown in FIG. 図９は、交通状況推計部５３で取得した交通状況詳細情報を示す説明図である。FIG. 9 is an explanatory view showing the traffic situation detailed information acquired by the traffic situation estimation unit 53. As shown in FIG.
　前記課題を解決するためになされた第１の発明は、対象エリア内に設置された車両感知器により取得した車両感知器情報に基づいて、対象エリア内の交通管理を行う交通管理装置であって、前記車両感知器から前記車両感知器情報を受信する通信部と、前記車両感知器情報に基づいて、前記対象エリア内の交通管理に係る情報処理を行う制御部と、を備え、前記制御部は、前記対象エリア内に単位エリアを設定し、前記車両感知器情報、および前記対象エリア内に設置された信号制御機に関する信号制御実績情報に基づいて、前記単位エリアを対象として交通流モデルを用いた推計処理を行って、前記単位エリア内の交通状況に関する情報を取得し、前記単位エリアの交通状況に関する情報に基づいて、前記単位エリア内の所定の位置に車両感知器が設置されたとみなす仮想車両感知器により取得したものとして取り扱う仮想車両感知器情報を生成する構成とする。 A first invention made to solve the above-mentioned problems is a traffic management device for performing traffic management in a target area based on vehicle sensor information acquired by a vehicle sensor installed in the target area, A communication unit that receives the vehicle sensor information from the vehicle sensor; and a control unit that performs information processing related to traffic management in the target area based on the vehicle sensor information; Sets a unit area in the target area, and determines a traffic flow model for the unit area based on the vehicle sensor information and signal control result information on signal controllers installed in the target area. The estimation process used is performed to obtain information on the traffic condition in the unit area, and a car is placed at a predetermined position in the unit area based on the information on the traffic condition in the unit area. Sensor is configured to generate a virtual vehicle detectors information handled as acquired by the virtual vehicle detectors considered to have been installed.
　これによると、単位エリア内の所定の位置に設定された仮想車両感知器により収集したものとして取り扱う仮想車両感知器情報を生成する。これにより、信号制御などの交通管理の制御内容を大幅に変更することなく、車両感知器を削減することができる。 According to this, virtual vehicle sensor information to be treated as collected by a virtual vehicle sensor set at a predetermined position in the unit area is generated. As a result, it is possible to reduce the number of vehicle detectors without significantly changing the control content of traffic management such as signal control.
　また、第２の発明は、前記制御部は、前記仮想車両感知器情報として、前記仮想車両感知器を設定した位置における交通量および占有率を取得する構成とする。 In the second invention, the control unit acquires, as the virtual vehicle sensor information, the traffic volume and the occupancy rate at the position where the virtual vehicle sensor is set.
　これによると、信号制御などの交通管理を適切に行うことができる。 According to this, traffic management such as signal control can be appropriately performed.
　また、第３の発明は、前記制御部は、境界位置に前記車両感知器が配置されて、この車両感知器により前記単位エリアに流入する交通量に関する情報を取得可能なように、前記単位エリアを設定する構成とする。 In the third aspect of the invention, the control unit may be arranged such that the vehicle sensor is disposed at a boundary position, and information on traffic flowing into the unit area can be acquired by the vehicle sensor. Is set up.
　これによると、単位エリア内の交通状況を精度良く推計することができる。 According to this, it is possible to accurately estimate the traffic situation in the unit area.
　また、第４の発明は、前記制御部は、前記単位エリア内に設置された廃止予定の車両感知器の位置に前記仮想車両感知器を設定する構成とする。 In the fourth invention, the control unit sets the virtual vehicle sensor at a position of a vehicle sensor to be discontinued installed in the unit area.
　これによると、単位エリア内に設置された車両感知器を廃止して、その車両感知器による車両感知器情報の代わりに仮想車両感知器情報を用いて、信号制御などの交通管理を行うことにより、車両感知器を削減することができる。 According to this, by eliminating the vehicle sensor installed in the unit area and performing traffic control such as signal control using virtual vehicle sensor information instead of vehicle sensor information by the vehicle sensor , Vehicle sensors can be reduced.
　また、第５の発明は、前記制御部は、前記仮想車両感知器情報に基づいて、前記信号制御機を制御するための信号制御情報を生成し、前記通信部は、前記信号制御情報を前記信号制御機に送信する構成とする。 In the fifth invention, the control unit generates signal control information for controlling the signal controller based on the virtual vehicle sensor information, and the communication unit performs the signal control information. It is configured to transmit to the signal controller.
　これによると、信号制御の制御内容を大幅に変更することなく、車両感知器を削減することができる。 According to this, it is possible to reduce the number of vehicle sensors without significantly changing the control content of the signal control.
　また、第６の発明は、前記制御部は、前記対象エリアにおける前記車両感知器の設置状況に関する情報、および前記対象エリア内の道路網の構成に関する情報に基づいて、前記単位エリアを決定する構成とする。 Further, according to a sixth aspect of the invention, the control unit determines the unit area based on information on an installation state of the vehicle sensor in the target area and information on a configuration of a road network in the target area. I assume.
　これによると、適切な単位エリアを決定することができる。そして、交通管理装置自体が単位エリアを決定することから、ユーザが単位エリアを決定する手間を省くことができるため、ユーザの利便性を高めることができる。なお、ユーザが単位エリアを決定して、ユーザにより入力された単位エリアに関する情報に基づいて単位エリアを設定する処理が単位エリア設定部で行われるようにしてもよい。 According to this, an appropriate unit area can be determined. Then, since the traffic management device itself determines the unit area, it is possible to save time and effort for the user to determine the unit area, and the convenience of the user can be enhanced. The process of setting the unit area based on the information on the unit area input by the user after the user determines the unit area may be performed by the unit area setting unit.
　また、第７の発明は、前記制御部は、前記車両感知器情報、前記信号制御実績情報、および前記単位エリア内の道路網の構成に関する情報に基づいて、前記単位エリア内の交通状況を推計する構成とする。 In the seventh aspect of the invention, the control unit estimates the traffic situation in the unit area based on the vehicle sensor information, the signal control result information, and information on the configuration of the road network in the unit area. Configuration.
　これによると、単位エリア内の交通状況を精度良く推計することができる。 According to this, it is possible to accurately estimate the traffic situation in the unit area.
　また、第８の発明は、対象エリア内に設置された車両感知器と、この車両感知器により取得した車両感知器情報に基づいて、対象エリア内の交通管理を行う交通管理装置と、を備える交通管理システムであって、前記交通管理装置は、前記車両感知器から前記車両感知器情報を受信する通信部と、前記車両感知器情報に基づいて、前記対象エリア内の交通管理に係る情報処理を行う制御部と、を備え、前記制御部は、前記対象エリア内に単位エリアを設定し、前記車両感知器情報、および前記対象エリア内に設置された信号制御機に関する信号制御実績情報に基づいて、前記単位エリアを対象として交通流モデルを用いた推計処理を行って、前記単位エリア内の交通状況に関する情報を取得し、前記単位エリアの交通状況に関する情報に基づいて、前記単位エリア内の所定の位置に車両感知器が設置されたとみなす仮想車両感知器により取得したものとして取り扱う仮想車両感知器情報を生成する構成とする。 An eighth invention comprises a vehicle sensor installed in a target area, and a traffic management device for managing traffic in the target area based on vehicle sensor information acquired by the vehicle sensor. A traffic management system, wherein the traffic management device is a communication unit that receives the vehicle sensor information from the vehicle sensor, and information processing related to traffic management in the target area based on the vehicle sensor information. Control unit configured to set a unit area in the target area, and based on the vehicle sensor information and signal control result information on a signal controller installed in the target area. And performing an estimation process using a traffic flow model for the unit area to obtain information on the traffic situation in the unit area, and based on the information on the traffic situation in the unit area. There are, a configuration for generating a virtual vehicle detectors information handled as acquired by the virtual vehicle detectors regarded as vehicle detector is installed at a predetermined position of the unit area.
　これによると、第１の発明と同様に、信号制御などの交通管理の制御内容を大幅に変更することなく、車両感知器を削減することができる。 According to this, as in the first aspect of the invention, it is possible to reduce the number of vehicle detectors without largely changing the control content of traffic management such as signal control.
　また、第９の発明は、交通管理装置において、対象エリア内に設置された車両感知器により取得した車両感知器情報に基づいて、対象エリア内の交通管理を行う交通管理方法であって、前記対象エリア内に単位エリアを設定し、前記車両感知器情報、および前記対象エリア内に設置された信号制御機に関する信号制御実績情報に基づいて、前記単位エリアを対象として交通流モデルを用いた推計処理を行って、前記単位エリア内の交通状況に関する情報を取得し、前記単位エリアの交通状況に関する情報に基づいて、前記単位エリア内の所定の位置に車両感知器が設置されたとみなす仮想車両感知器により取得したものとして取り扱う仮想車両感知器情報を生成し、前記車両感知器情報および前記仮想車両感知器情報に基づいて、前記信号制御機を制御する信号制御情報を生成する構成とする。 A ninth invention is a traffic management method for traffic management in a target area, based on vehicle sensor information acquired by a vehicle sensor installed in the target area, in the traffic management apparatus, A unit area is set in a target area, and an estimation using a traffic flow model is performed on the unit area based on the vehicle sensor information and signal control result information on a signal controller installed in the target area. A virtual vehicle sensing process is performed to obtain information on traffic conditions in the unit area, and based on the information on traffic conditions in the unit area, a vehicle sensor is considered to be installed at a predetermined position in the unit area Generating virtual vehicle sensor information to be handled as acquired by the device, and based on the vehicle sensor information and the virtual vehicle sensor information, A configuration for generating a signal control information for controlling the control machine.
　これによると、第１の発明と同様に、信号制御などの交通管理の制御内容を大幅に変更することなく、車両感知器を削減することができる。 According to this, as in the first aspect of the invention, it is possible to reduce the number of vehicle detectors without largely changing the control content of traffic management such as signal control.
　以下、本発明の実施の形態を、図面を参照しながら説明する。 Hereinafter, embodiments of the present invention will be described with reference to the drawings.
　図１は、本実施形態に係る交通管理システムの全体構成図である。 FIG. 1 is an overall configuration diagram of a traffic management system according to the present embodiment.
　この交通管理システム（交通管制システム）は、車両感知器１と、信号制御機２と、交通管理装置３と、を備えている。 The traffic management system (traffic control system) includes a vehicle sensor 1, a signal controller 2, and a traffic management device 3.
　車両感知器１は、例えば超音波式車両感知器および光学式車両感知器（光ビーコン）などであり、道路上の車両を感知して、道路における車両の通行状況を表す車両感知器情報（交通量および占有率）を生成する。この車両感知器情報は、車両感知器１から交通管理装置３に送信される。 The vehicle sensor 1 is, for example, an ultrasonic vehicle sensor and an optical vehicle sensor (light beacon), etc., and senses a vehicle on a road to indicate vehicle traffic on the road. Generate the amount and the occupancy rate). The vehicle sensor information is transmitted from the vehicle sensor 1 to the traffic management device 3.
　信号制御機２は、交通管理装置３から送信される信号制御情報に基づいて、信号灯器の動作を制御する。 The signal controller 2 controls the operation of the signal light based on the signal control information transmitted from the traffic management device 3.
　交通管理装置３は、交通管制システムの中央装置であり、車両感知器１から送信される車両感知器情報に基づいて、信号制御機２の制御を行うための信号制御情報を生成するとともに、対象エリア内の交通情報を生成する。 The traffic management device 3 is a central device of the traffic control system, and generates signal control information for controlling the signal controller 2 based on the vehicle sensor information transmitted from the vehicle sensor 1, and Generate traffic information in the area.
　次に、交通管理装置３の概略構成について説明する。図２は、交通管理装置３の概略構成を示すブロック図である。 Next, a schematic configuration of the traffic management device 3 will be described. FIG. 2 is a block diagram showing a schematic configuration of the traffic management device 3.
　交通管理装置３は、第１の交通管理部１１と、第２の交通管理部１２と、を備えている。第１の交通管理部１１は、交通管理に係る既存の機能を実現するものであり、第２の交通管理部１２は、交通管理に係る新規の機能を実現するものである。このような構成とすることで、交通管理装置３における既存の構成要素に手を加えることなく、交通管理装置３に新たな機能を付加することができる。 The traffic management device 3 includes a first traffic management unit 11 and a second traffic management unit 12. The first traffic management unit 11 realizes an existing function related to traffic management, and the second traffic management unit 12 realizes a new function related to traffic management. With such a configuration, it is possible to add a new function to the traffic management device 3 without modifying the existing components of the traffic management device 3.
　第１の交通管理部１１は、通信部２１と、制御部２２と、記憶部２３と、を備えている。 The first traffic management unit 11 includes a communication unit 21, a control unit 22, and a storage unit 23.
　通信部２１は、車両感知器１および信号制御機２と通信を行い、車両感知器１から送信される車両感知器情報を受信し、また、信号制御情報を信号制御機２に送信する。 The communication unit 21 communicates with the vehicle sensor 1 and the signal controller 2, receives vehicle sensor information transmitted from the vehicle sensor 1, and transmits signal control information to the signal controller 2.
　記憶部２３は、車両感知器情報、信号制御実績情報、車両感知器配置情報、および道路網構成情報を記憶する。また、記憶部２３は、制御部２２を構成するプロセッサで実行されるプログラムを記憶する。 The storage unit 23 stores vehicle sensor information, signal control result information, vehicle sensor arrangement information, and road network configuration information. In addition, the storage unit 23 stores a program executed by a processor that configures the control unit 22.
　車両感知器情報は、車両感知器１で収集された車両の通行状況を表す情報であり、具体的には、交通量、すなわち、単位時間（例えば５分）ごとに車両感知器１の位置を通過した車両の台数や、占有率（時間占有率）、すなわち、単位時間内に車両感知器１の位置に車両が存在していた時間の割合などである。 The vehicle sensor information is information representing the traffic condition of the vehicle collected by the vehicle sensor 1. Specifically, the traffic volume, that is, the position of the vehicle sensor 1 every unit time (for example, 5 minutes) It is the number of vehicles that have passed, the occupancy rate (time occupancy rate), that is, the ratio of the time during which the vehicle is present at the position of the vehicle sensor 1 within a unit time.
　信号制御実績情報は、過去および現在運用中の信号制御で用いられた信号制御情報（信号制御パラメータや各ステップ（階梯）の実績値）である。信号制御情報は、交通信号の表示タイミングを決定する要素となる信号制御パラメータの情報であり、具体的には、サイクル長、スプリット、オフセット、およびオフセットの基準となる交差点の番号などを有する制御指令情報やステップ（階梯）毎の実行した秒数、および交差点の番号などで構成される制御実行情報である。 The signal control result information is signal control information (signal control parameter and actual value of each step (step)) used in signal control in the past and present operation. The signal control information is information of signal control parameters which is an element determining the display timing of the traffic signal, and specifically, a control command having a cycle length, a split, an offset, an intersection number as a reference of the offset, and the like. It is control execution information configured of information, the number of seconds executed for each step (step), the number of an intersection, and the like.
　車両感知器配置情報は、車両感知器１が設置された位置に関する情報であり、具体的には、車両感知器１が設置されたリンクの番号、リンクの終端から車両感知器１までの距離などである。 The vehicle sensor arrangement information is information on the position at which the vehicle sensor 1 is installed. Specifically, the number of the link at which the vehicle sensor 1 is installed, the distance from the end of the link to the vehicle sensor 1, etc. It is.
　道路網構成情報は、道路網を構成するノードおよびリンクの接続形態や、各リンクの車線数などに関する情報であり、具体的には、リンク（道路）に関する情報として、リンク番号、車線数、リンク長、方向別付加車線（右折専用車線など）の有無および長さなどであり、また、ノード（交差点）に関する情報として、ノード番号、信号現示と通行権付与流入路の関係に関する情報などである。 The road network configuration information is information on the connection form of nodes and links constituting the road network, the number of lanes of each link, etc. Specifically, as information on links (roads), link number, number of lanes, link The length, presence or absence of additional lanes by direction (right-turning lanes, etc.), length, etc. In addition, information on nodes (intersections) includes node numbers, information on the relationship between signal appearance and passing right inflow path, etc. .
　制御部２２は、信号制御情報生成部３１を備えている。この制御部２２は、単一または複数のプロセッサで構成され、信号制御情報生成部３１は、記憶部２３に記憶されたプログラムをプロセッサで実行することで実現される。 The control unit 22 includes a signal control information generation unit 31. The control unit 22 is configured of a single or a plurality of processors, and the signal control information generation unit 31 is realized by causing the processor to execute a program stored in the storage unit 23.
　信号制御情報生成部３１は、車両感知器１から取得した車両感知器情報と、第２の交通管理部１２で取得した仮想車両感知器情報とに基づいて、信号制御機２を制御するための信号制御情報を生成する。具体的には、信号制御パラメータ（サイクル長、スプリットおよびオフセット）を算出する。 The signal control information generation unit 31 controls the signal controller 2 based on the vehicle sensor information acquired from the vehicle sensor 1 and the virtual vehicle sensor information acquired by the second traffic management unit 12. Generate signal control information. Specifically, signal control parameters (cycle length, split and offset) are calculated.
　第２の交通管理部１２は、制御部４１と、記憶部４２と、を備えている。 The second traffic management unit 12 includes a control unit 41 and a storage unit 42.
　記憶部４２は、車両感知器情報、信号制御実績情報、車両感知器配置情報、道路網構成情報、交通状況推計用設定情報、単位エリア定義情報、仮想車両感知器情報生成用設定情報、交通状況詳細情報、仮想車両感知器情報、および信号制御情報を記憶する。また、記憶部４２は、制御部４１を構成するプロセッサで実行されるプログラムを記憶する。 The storage unit 42 includes vehicle sensor information, signal control result information, vehicle sensor arrangement information, road network configuration information, traffic condition estimation setting information, unit area definition information, virtual vehicle sensor information generation setting information, traffic condition Store detailed information, virtual vehicle sensor information, and signal control information. In addition, the storage unit 42 stores a program executed by a processor that configures the control unit 41.
　交通状況推計用設定情報は、交通状況を推計する際に必要となる各種の条件に関する情報である。具体的には、交通状況を推計する際の推計期間、すなわち、交通状況を推計する際に入力する情報（車両感知器情報および信号制御実績情報）の期間である。また、交通状況推計用設定情報は、交通流モデルのパラメータ、例えば、リンクやノードの交通流率（単位時間あたりに通過する車両の台数）、各リンクの法定速度、ならびに各リンクにおける車線の数、車線の幅員および右折レーンの有無などに関する情報である。 The setting information for traffic condition estimation is information on various conditions required when estimating the traffic condition. Specifically, it is an estimation period when estimating the traffic condition, that is, a period of information (vehicle sensor information and signal control result information) input when estimating the traffic condition. In addition, the setting information for traffic condition estimation is a parameter of the traffic flow model, for example, traffic flow rate of links and nodes (number of vehicles passing per unit time), legal speed of each link, and number of lanes in each link , Lane width and right turn lane information.
　単位エリア定義情報は、交通状況を推計する単位となる単位エリアに関する情報であり、具体的には、単位エリアの番号（識別情報）、単位エリアに含まれるリンクの番号、単位エリアに含まれる交差点の番号などである。 The unit area definition information is information on a unit area serving as a unit for estimating the traffic situation. Specifically, the unit area number (identification information), the link number included in the unit area, the intersection included in the unit area And the like.
　仮想車両感知器情報生成用設定情報は、仮想車両感知器情報を生成する際に必要となる各種の条件に関する情報である。この情報は、仮想車両感知器の位置情報、具体的には、仮想車両感知器が設定されたリンクの番号（識別情報）や、リンクの終端からの位置などである。また、この情報は、仮想車両感知器情報を生成する際の収集期間、すなわち、交通状況の推計結果として出力される交通状況詳細情報のうち、仮想車両感知器情報の生成に使用する期間などである。 The setting information for virtual vehicle sensor information generation is information regarding various conditions required when generating virtual vehicle sensor information. This information is position information of the virtual vehicle sensor, specifically, a link number (identification information) on which the virtual vehicle sensor is set, a position from the end of the link, and the like. In addition, this information is a collection period when generating virtual vehicle sensor information, that is, a period used to generate virtual vehicle sensor information among traffic condition detailed information output as a result of traffic condition estimation. is there.
　交通状況詳細情報（図９参照）は、交通状況の推計結果に関する情報であり、各車両の走行軌跡、すなわち各車両の位置の時間的な推移状況（各時刻における各車両の位置）を表す情報であり、具体的には、車両ごとの車両ＩＤ、通過時刻、通過位置（リンク番号、リンク終端からの距離など）などである。 The traffic condition detailed information (see FIG. 9) is information on the estimation result of the traffic condition, and is information indicating the traveling locus of each vehicle, that is, the temporal transition condition of the position of each vehicle (the position of each vehicle at each time) Specifically, for example, the vehicle ID for each vehicle, the passing time, the passing position (link number, distance from the link end, etc.), and the like.
　仮想車両感知器情報は、所定の位置に設定された仮想車両感知器により収集したものとして取り扱われる情報であり、具体的には、車両感知器情報と同様に、交通量および占有率などである。 The virtual vehicle sensor information is information handled as collected by the virtual vehicle sensor set at a predetermined position, and specifically, like the vehicle sensor information, the traffic volume and occupancy rate, etc. .
　信号制御情報は、信号制御機２を制御するための、信号制御パラメータ（サイクル長、スプリットおよびオフセット）である。 The signal control information is signal control parameters (cycle length, split and offset) for controlling the signal controller 2.
　制御部４１は、入力情報取得部５１と、単位エリア設定部５２と、交通状況推計部５３と、仮想車両感知器情報生成部５４と、を備えている。この制御部４１は、単一または複数のプロセッサで構成され、制御部４１の各部は、記憶部４２に記憶されたプログラムをプロセッサで実行することで実現される。 The control unit 41 includes an input information acquisition unit 51, a unit area setting unit 52, a traffic condition estimation unit 53, and a virtual vehicle sensor information generation unit 54. The control unit 41 is configured of a single or a plurality of processors, and each unit of the control unit 41 is realized by executing a program stored in the storage unit 42 by the processor.
　入力情報取得部５１は、第１の交通管理部１１から必要な情報を収集するものであり、本実施形態では、第１の交通管理部１１から、車両感知器情報、信号制御実績情報、車両感知器配置情報、および道路網構成情報を取得して、それらの情報を記憶部４２に記憶する。 The input information acquisition unit 51 collects necessary information from the first traffic management unit 11, and in the present embodiment, vehicle sensor information, signal control result information, and vehicles from the first traffic management unit 11 The sensor arrangement information and the road network configuration information are acquired, and the information is stored in the storage unit 42.
　単位エリア設定部５２は、記憶部４２の車両感知器配置情報および道路網構成情報に基づいて、対象エリア内に、交通状況推計部５３において交通状況を推計する際の単位となる単位エリア（図４参照）を設定する。 Unit area setting unit 52 is a unit area serving as a unit when traffic condition estimation unit 53 estimates the traffic condition in the target area based on the vehicle sensor arrangement information and road network configuration information of storage unit 42 (see FIG. Set 4).
　交通状況推計部５３は、記憶部４２の交通状況推計用設定情報に基づいて、交通流モデルを用いた推計処理を行い、単位エリア内の交通状況を推計し、交通状況詳細情報（図９参照）、具体的には、各車両の走行軌跡、すなわち各車両の位置の時間的な推移状況を表す情報を生成する。 The traffic situation estimation unit 53 performs an estimation process using a traffic flow model based on the traffic situation estimation setting information of the storage unit 42, estimates the traffic situation in the unit area, and provides detailed traffic situation information (see FIG. 9). ), Specifically, information indicating the traveling track of each vehicle, that is, the temporal transition of the position of each vehicle is generated.
　仮想車両感知器情報生成部５４は、交通状況推計部５３で取得した交通状況詳細情報に基づいて、所定の位置に設定された仮想車両感知器により収集したものとして取り扱われる仮想車両感知器情報（交通量および占有率）を生成する。 The virtual vehicle sensor information generation unit 54 is virtual vehicle sensor information to be treated as collected by a virtual vehicle sensor set at a predetermined position based on the traffic condition detailed information acquired by the traffic condition estimation unit 53 ( Generate traffic and occupancy).
　次に、交通管理装置３で行われる処理の手順について説明する。図３は、交通管理装置３で行われる処理の手順を示すフロー図である。 Next, the procedure of the process performed by the traffic management device 3 will be described. FIG. 3 is a flowchart showing the procedure of processing performed by the traffic management device 3.
　交通管理装置３では、まず、第２の交通管理部１２の入力情報取得部５１において、第１の交通管理部１１から、車両感知器情報、信号制御実績情報、車両感知器配置情報、および道路網構成情報を取得して、それらの情報を記憶部４２に記憶する（ＳＴ１０１）。 In the traffic management device 3, first, in the input information acquisition unit 51 of the second traffic management unit 12, vehicle sensor information, signal control result information, vehicle sensor arrangement information, and roads from the first traffic management unit 11 The network configuration information is acquired, and the information is stored in the storage unit 42 (ST101).
　次に、単位エリア設定部５２において、記憶部４２の車両感知器配置情報および道路網構成情報に基づいて、対象エリア内に単位エリアを設定する（ＳＴ１０２）。 Next, the unit area setting unit 52 sets a unit area in the target area based on the vehicle sensor arrangement information and the road network configuration information of the storage unit 42 (ST102).
　次に、交通状況推計部５３において、記憶部４２の交通状況推計用設定情報に基づいて、交通流モデルを用いて単位エリア内の交通状況を推計して、交通状況詳細情報を生成する（ＳＴ１０３）。 Next, the traffic condition estimation unit 53 estimates the traffic condition in the unit area using the traffic flow model based on the traffic condition estimation setting information of the storage unit 42, and generates traffic condition detailed information (ST103) ).
　次に、仮想車両感知器情報生成部５４において、交通状況推計部５３で取得した交通状況詳細情報に基づいて、仮想車両感知器情報を生成する（ＳＴ１０４）。 Next, virtual vehicle sensor information generation unit 54 generates virtual vehicle sensor information based on the traffic condition detail information acquired by traffic condition estimation unit 53 (ST104).
　次に、第１の交通管理部１１の信号制御情報生成部３１において、車両感知器１から取得した車両感知器情報と、仮想車両感知器情報生成部５４で取得した仮想車両感知器情報とに基づいて、信号制御情報を生成する（ＳＴ１０５）。 Next, in the signal control information generation unit 31 of the first traffic management unit 11, vehicle sensor information acquired from the vehicle sensor 1 and virtual vehicle sensor information acquired by the virtual vehicle sensor information generation unit 54. Based on the signal control information is generated (ST105).
　次に、単位エリア設定部５２で行われる処理について説明する。図４は、単位エリア設定部５２で設定される単位エリアの一例を示す説明図である。 Next, the process performed by the unit area setting unit 52 will be described. FIG. 4 is an explanatory view showing an example of a unit area set by the unit area setting unit 52. As shown in FIG.
　単位エリア設定部５２は、対象エリア内に、交通状況推計部５３において交通状況を推計する際の単位となる単位エリアを設定し、この単位エリアを対象として、交通状況推計部５３において、交通流モデルを用いた交通状況の推計が行われる。 Unit area setting unit 52 sets a unit area serving as a unit when traffic condition estimation unit 53 estimates a traffic condition in the target area, and traffic condition estimation unit 53 sets a traffic area for this unit area. Traffic conditions are estimated using a model.
　道路網は、ノード（交差点）およびそのノードを結ぶリンク（道路）により構成され、リンクには車両感知器１が設置されている。また、ノードには必要に応じて図示しない信号制御機２が設置されている。 The road network is composed of nodes (intersections) and links (roads) connecting the nodes, and a vehicle sensor 1 is installed on the links. Moreover, the signal controller 2 which is not shown in figure is installed in the node as needed.
　ここで、本実施形態では、単位エリアが、単位エリア内の交通状況の推計が可能なように設定される。特に本実施形態では、単位エリアの境界位置に車両感知器１が配置されて、単位エリアに流入する交通量を計測することができるように単位エリアが設定される。すなわち、単位エリアの境界に位置するリンクに車両感知器１が配置されて、その境界に位置するリンクごとに流入量（内向きの交通量）を計測することができるように単位エリアが設定される。 Here, in the present embodiment, the unit area is set so that the traffic condition in the unit area can be estimated. In the present embodiment, in particular, the vehicle sensor 1 is disposed at the boundary position of the unit area, and the unit area is set so that the traffic volume flowing into the unit area can be measured. That is, the vehicle sensor 1 is disposed at the link located at the boundary of the unit area, and the unit area is set so that the inflow amount (inward traffic volume) can be measured for each link located at the boundary Ru.
　なお、単位エリアでは、流入する交通量を取得することが重要であり、単位エリアに流入する交通量を取得することで、交通流モデルを用いた推計処理により単位エリア内の交通状況の推計が可能となり、単位エリアからの流出量は、交通流モデルを用いた推計処理による推計結果として取得することができる。 In addition, in the unit area, it is important to acquire the inflowing traffic volume, and by acquiring the traffic volume flowing into the unit area, the traffic condition in the unit area can be estimated by the estimation process using the traffic flow model. It becomes possible, and the outflow from the unit area can be obtained as an estimation result by estimation processing using a traffic flow model.
　また、単位エリアの境界に位置する全てのリンクについて流入量を取得するとよいが、必ずしも単位エリアの境界に位置する全てのリンクについて流入量を取得する必要はない。例えば、住宅地の小さな道路のように交通量が少ないリンクでは、現地調査で取得した交通量の実績値に基づく定数で流入量を与えればよく、また、交通流モデルのパラメータで調整するようにしてもよく、このようにしても、実用上十分な精度で単位エリア内の交通状況を推計することができる。 Although it is preferable to acquire the inflow for all links located at the boundary of the unit area, it is not necessary to acquire the inflow for all links located at the boundary of the unit area. For example, for a link with a small traffic volume such as a small road in a residential area, the inflow volume may be given by a constant based on the actual traffic volume value acquired in the field survey, and it should be adjusted with the parameters of the traffic flow model Even in this case, the traffic situation in the unit area can be estimated with sufficient accuracy for practical use.
　また、車両感知器１の配置に変更が生じた場合や、道路網の構成に変更が生じた場合、例えば、車両感知器１の廃止や新設があった場合や、道路が新設された場合には、単位エリアを設定し直す更新処理が行われる。 In addition, when there is a change in the arrangement of the vehicle sensor 1 or when there is a change in the configuration of the road network, for example, when the vehicle detector 1 is abolished or newly established, or when a road is newly established. In the process, an update process is performed to reset the unit area.
　次に、仮想車両感知器について説明する。図５Ａ、図５Ｂは、車両感知器１および仮想車両感知器の配置状況の一例を示す説明図である。 Next, the virtual vehicle sensor will be described. 5A and 5B are explanatory diagrams showing an example of the arrangement of the vehicle sensor 1 and the virtual vehicle sensor.
　本実施形態では、図４に示したように、境界位置に車両感知器１が配置されるように単位エリアを設定して、その単位エリア内の交通状況を推計する。これにより、単位エリア内の任意の位置の交通状況を取得することができる。したがって、境界位置の車両感知器１は必要であるが、単位エリアの内部に位置する車両感知器１は不要となる。このため、境界位置に既設の車両感知器１がない場合には、その位置に車両感知器１を新設し、単位エリアの内部に位置する車両感知器１は廃止することができる。 In this embodiment, as shown in FIG. 4, a unit area is set so that the vehicle sensor 1 is arranged at the boundary position, and the traffic condition in the unit area is estimated. This makes it possible to acquire the traffic situation at any position in the unit area. Therefore, although the vehicle sensor 1 at the boundary position is necessary, the vehicle sensor 1 located inside the unit area is not necessary. For this reason, when there is no existing vehicle sensor 1 at the boundary position, the vehicle sensor 1 can be newly installed at that position, and the vehicle sensor 1 located inside the unit area can be eliminated.
　一方、信号制御では、既設の車両感知器１による車両感知器情報を入力情報として制御が行われ、既設の車両感知器１を廃止すると、制御内容を大幅に変更する必要が生じる。そこで、本実施形態では、廃止予定の車両感知器１が設置されている位置に仮想車両感知器を設定して、その仮想車両感知器により収集したものとして取り扱うことができる仮想車両感知器情報を、推計した交通状況に基づいて生成する。これにより、信号制御の制御内容を大幅に変更することなく、車両感知器１を削減することができる。 On the other hand, in signal control, control is performed using vehicle sensor information from the existing vehicle sensor 1 as input information, and when the existing vehicle sensor 1 is eliminated, the control content needs to be changed significantly. Therefore, in the present embodiment, a virtual vehicle sensor is set at a position where the vehicle sensor 1 to be discontinued is installed, and virtual vehicle sensor information that can be handled as collected by the virtual vehicle sensor is , Based on the estimated traffic conditions. As a result, the number of vehicle sensors 1 can be reduced without significantly changing the control content of signal control.
　図５Ａに示すように、既設の車両感知器１が存在する場合、図５Ｂに示すように、単位エリアを設定すると、既設の車両感知器１のうち、境界位置の車両感知器１は残し、単位エリアの内部に位置する車両感知器１を廃止して、その位置に仮想車両感知器を設定する。また、境界位置に車両感知器１がない場合には、その位置に車両感知器１を新設する。 As shown to FIG. 5A, when the existing vehicle sensor 1 exists, as shown to FIG. 5B, if a unit area is set, the vehicle sensor 1 of a boundary position will be left among the existing vehicle sensors 1, The vehicle sensor 1 located inside the unit area is abolished and the virtual vehicle sensor is set at that position. Also, if there is no vehicle sensor 1 at the boundary position, the vehicle sensor 1 is newly installed at that position.
　なお、図５Ａ、図５Ｂに示す重要交差点は、横（東西）の流入路と縦（南北）の流入路とで交通の取り合いが発生する交差点であり、信号制御パラメータを生成する際の最小単位となるサブエリア内に１つ設定される。図５Ａ、図５Ｂに示す例では、この重要交差点において、幹線道路となる横の流入路の他に、従道路となる縦の流入路にも、車両感知器１が設置されている。 The important intersections shown in FIGS. 5A and 5B are intersections where traffic communication occurs between the horizontal (east-west) inflow path and the vertical (north-south) inflow path, and the minimum unit for generating signal control parameters One is set in the sub area. In the example shown to FIG. 5A and FIG. 5B, the vehicle sensor 1 is installed also in the vertical inflow path which becomes a secondary road other than the horizontal inflow path which becomes a main road in this important intersection.
　ところで、仮想車両感知器情報に基づいて信号制御を行うにあたっては、まず、既設の車両感知器１による車両感知器情報と仮想車両感知器情報とを比較することで、仮想車両感知器情報の精度を確認し、必要な精度を確保できていない場合には、交通状況推計のパラメータを調整し、必要な精度が確認されると、仮想車両感知器情報に基づく制御に移行して、単位エリアの内部に位置する不要な車両感知器１を徐々に廃止するようにするとよい。 By the way, when performing signal control based on virtual vehicle sensor information, first, by comparing the vehicle sensor information by the existing vehicle sensor 1 with the virtual vehicle sensor information, the accuracy of the virtual vehicle sensor information is compared If the required accuracy can not be ensured, the traffic situation estimation parameters are adjusted, and if the required accuracy is confirmed, the control shifts to control based on virtual vehicle sensor information, and the unit area It is preferable to gradually eliminate unnecessary vehicle sensors 1 located inside.
　なお、フェイルセーフの観点から、単位エリアの内部に位置する車両感知器１でも、重要交差点に関係する車両感知器１は残しておくようにしてもよい。 From the viewpoint of fail safe, even the vehicle sensors 1 located inside the unit area may leave the vehicle sensors 1 related to the important intersection.
　次に、単位エリア設定部５２で行われる処理の手順について説明する。図６は、単位エリア設定部５２で行われる処理の手順を示すフロー図である。 Next, the procedure of the process performed by the unit area setting unit 52 will be described. FIG. 6 is a flowchart showing the procedure of the process performed by the unit area setting unit 52.
　単位エリア設定部５２では、まず、記憶部４２の車両感知器配置情報に基づいて、既設の車両感知器１の配置状況を確認する（ＳＴ２０１）。また、記憶部４２の道路網構成情報に基づいて、道路網の構成を確認する（ＳＴ２０２）。 In the unit area setting unit 52, first, based on the vehicle sensor arrangement information of the storage unit 42, the arrangement situation of the existing vehicle sensor 1 is confirmed (ST201). Further, based on the road network configuration information of the storage unit 42, the configuration of the road network is confirmed (ST202).
　次に、仮想車両感知器情報を生成する対象となる仮想車両感知器の位置、すなわち、既設の車両感知器１のうちで廃止可能な車両感知器１の位置を確認する（ＳＴ２０３）。 Next, the position of the virtual vehicle sensor for which virtual vehicle sensor information is to be generated, that is, the position of the abolished vehicle sensor 1 among the existing vehicle sensors 1 is confirmed (ST203).
　次に、既設の車両感知器１の配置状況と、仮想車両感知器の位置とに基づいて、交通状況を推計する単位となる単位エリアの範囲を決定して、その単位エリアの範囲に関する単位エリア定義情報を生成する（ＳＴ２０４）。このとき、単位エリアの境界位置に車両感知器１が配置されて、この車両感知器１により単位エリアに流入する交通量を取得可能なように、単位エリアが設定される。 Next, based on the arrangement situation of the existing vehicle sensor 1 and the position of the virtual vehicle sensor, the range of the unit area which is a unit for estimating the traffic situation is determined, and the unit area related to the range of the unit area Definition information is generated (ST 204). At this time, the vehicle sensor 1 is disposed at the boundary position of the unit area, and the unit area is set such that the traffic volume flowing into the unit area can be obtained by the vehicle sensor 1.
　次に、交通状況推計部５３で行われる処理について説明する。図７Ａ、図７Ｂ、図７Ｃは、交通状況推計部５３で用いられる交通流モデルの一例を説明する説明図である。なお、図７Ａは、リンク（道路）に設定されるブロックを説明するものであり、図７Ｂは、交通量－密度曲線を表すグラフであり、図７Ｃは、隣接するブロック間の交通密度の移動状況を模式的に表したものである。 Next, the process performed by the traffic condition estimation unit 53 will be described. FIG. 7A, FIG. 7B, and FIG. 7C are explanatory drawings explaining an example of the traffic flow model used by the traffic condition estimation part 53. FIG. FIG. 7A illustrates blocks set as links (roads), FIG. 7B is a graph showing a traffic volume-density curve, and FIG. 7C shows movement of traffic density between adjacent blocks. The situation is schematically represented.
　交通状況推計部５３は、単位エリアを対象として交通流モデルを用いた推計処理により、単位エリア内の交通状況を推計する。 The traffic situation estimation unit 53 estimates the traffic situation in the unit area by estimation processing using a traffic flow model for the unit area.
　この交通状況の推計では、任意の地点での渋滞の発生状況、道路網の構成、および各リンクの車線数なども考慮する必要があるため、ミクロな車両や車線の取扱いが可能な交通流モデルが必要であり、例えば、東京大学生産技術研究所などで構成される研究グループで開発されたＡＶＥＮＵＥ（an Advanced & Visual Evaluator for road Networks in Urban arEas）が好適である。 In this traffic situation estimation, it is necessary to consider the occurrence of traffic congestion at any point, the configuration of the road network, and the number of lanes of each link, so a traffic flow model that can handle microscopic vehicles and lanes. For example, AVENUE (an Advanced & Visual Evaluator for Road Networks in Urban arEas), which is developed by a research group consisting of the Research Institute of Industrial Science and Technology, the University of Tokyo, is preferable.
　図７Ａ、図７Ｂ、図７Ｃは、ＡＶＥＮＵＥで用いられるブロック密度法を説明するものであり、このブロック密度法では、図７Ａに示すように、リンク（道路）にブロックを等間隔に設定し、各ブロック内に存在する車両の台数で交通状況を表現する。図７Ａに示す例では、２つの交差点を結ぶリンクが２本の車線を有し、各車線にブロックが設定されている。 FIGS. 7A, 7B, and 7C illustrate block density methods used in AVENUE. In this block density method, as shown in FIG. 7A, blocks are set at equal intervals in links (roads), Express the traffic situation with the number of vehicles present in each block. In the example shown in FIG. 7A, a link connecting two intersections has two lanes, and blocks are set in each lane.
　ブロック密度法では、図７Ｂに示すように、リンクの交通容量（リンク容量）Ｑｃ、ジャム密度Ｋｊおよび自由流速度Ｖｆにより決定される交通量－密度曲線が設定され、この交通量－密度曲線に基づいて、図７Ｃに示すように、隣接する上流側のブロックｉ＋１と下流側のブロックｉとの間の流量（移動交通量）Ｑｉ＋１，ｉを求める。具体的には、図７Ｂに示す交通量－密度曲線に基づいて、各ブロックの密度から、各ブロックの流出可能量Ａｏｕｔ ｉ＋１および流入可能量Ａｉｎ ｉを求め、その最小値をブロック間の流量Ｑｉ＋１，ｉとする。この隣接するブロック間の流量の計算をすべてのブロックを対象にして行う。 In the block density method, as shown in FIG. 7B, a traffic volume-density curve determined by the traffic volume (link volume) Qc of the link, jam density Kj and free flow velocity Vf is set, and this traffic volume-density curve is set. Based on this, as shown in FIG. 7C, the flow rate (moving traffic volume) Q i + 1, i between the adjacent upstream block i + 1 and the downstream block i is determined. Specifically, based on the traffic volume-density curve shown in FIG. 7B, the possible outflow amount A out i + 1 and the inflowable amount A in i of each block are determined from the density of each block, and the minimum value is determined between the blocks It is assumed that the flow rate Q i + 1, i . The calculation of the flow rate between adjacent blocks is performed for all blocks.
　このようにして、ブロック密度法では、各リンクにおける交通量を算出することができるが、さらに、このブロック密度法に、離散的な待ち行列モデルを組み合わせたハイブリッドブロック密度法では、車両の走行状況を１台ずつ再現し、さらに運転者の経路選択行動も取り入れることができ、これにより、各リンクの交通状況を詳細に推計することができる。 In this way, the block density method can calculate the traffic volume on each link, but in addition, the hybrid block density method combining discrete queuing models with this block density method allows the travel situation of the vehicle to be calculated. Can be reproduced one by one, and also the route selection behavior of the driver can be taken in, whereby the traffic situation of each link can be estimated in detail.
　次に、交通状況推計部５３で行われる処理の手順について説明する。図８は、交通状況推計部５３で行われる処理の手順を示すフロー図である。 Next, the procedure of the process performed by the traffic condition estimation unit 53 will be described. FIG. 8 is a flowchart showing the procedure of processing performed by the traffic condition estimation unit 53. As shown in FIG.
　交通状況推計部５３では、まず、記憶部４２の交通状況推計用設定情報（推計期間）に基づいて、記憶部４２の車両感知器情報の中から、推計期間に含まれる車両感知器情報（単位エリアへの流入交通量）を、推計入力情報として取得する（ＳＴ３０１）。また、記憶部４２の信号制御実績情報の中から、推計期間に含まれる信号制御実績情報（信号制御パラメータの実績値）を、推計入力情報として取得する（ＳＴ３０２）。なお、推計期間は、推計時点Ｔより期間Ｎ１だけ過去に遡った時点Ｔ１（＝Ｔ－Ｎ１）から推計時点Ｔまでの期間である。 In the traffic condition estimation unit 53, first, based on the traffic condition estimation setting information (estimation period) of the storage unit 42, vehicle sensor information (in units of units included in the estimation period among the vehicle sensor information of the storage unit 42). Traffic volume inflow to area) is acquired as estimated input information (ST301). Further, signal control result information (result value of signal control parameter) included in the estimation period is acquired as estimation input information from the signal control result information of the storage unit 42 (ST 302). Note that the estimation period is a period from time T1 (= T−N1) going back by period N1 past estimation time T to estimation time T.
　次に、記憶部４２の単位エリア定義情報、道路網構成情報、および交通状況推計用設定情報に基づいて、対象とする単位エリアに関する道路網の構成および交通流モデルのパラメータ（交通流率など）を設定する（ＳＴ３０３）。 Next, based on the unit area definition information in the storage unit 42, the road network configuration information, and the traffic situation estimation setting information, the configuration of the road network and the parameters of the traffic flow model (traffic flow rate etc.) Is set (ST303).
　次に、推計入力情報、すなわち、推計期間の車両感知器情報および信号制御実績情報を交通流モデルに適用して、推計期間における単位エリア内の交通状況を推計する（ＳＴ３０４）。このとき、推計時点Ｔ１から順次、推計入力情報を交通流モデルに適用して、推計期間Ｎ１における推計結果を取得する。この推計処理は、単位エリアごとに行われ、単位エリアごとの推計結果が得られ、対象とする全ての単位エリアごとの推計結果が、交通状況詳細情報として記憶部４２に記憶される。 Next, estimate input information, that is, vehicle sensor information in the estimation period and signal control result information, is applied to the traffic flow model to estimate the traffic situation in the unit area in the estimation period (ST 304). At this time, the estimation input information is sequentially applied to the traffic flow model from the estimation time T1, and the estimation result in the estimation period N1 is acquired. This estimation process is performed for each unit area, the estimation result for each unit area is obtained, and the estimation results for all target unit areas are stored in the storage unit 42 as traffic condition detailed information.
　次に、仮想車両感知器情報生成部５４で行われる処理について説明する。図９は、交通状況推計部５３で取得した交通状況詳細情報を示す説明図である。 Next, the process performed by the virtual vehicle sensor information generation unit 54 will be described. FIG. 9 is an explanatory view showing the traffic situation detailed information acquired by the traffic situation estimation unit 53. As shown in FIG.
　交通状況推計部５３は、交通流モデルを用いた推計処理により交通状況を推計し、これにより、図９に示すような交通状況詳細情報が得られる。この交通状況詳細情報は、各車両の走行軌跡、すなわち各車両の位置の時間的な推移状況を表している。仮想車両感知器情報生成部５４は、図９に示す交通状況詳細情報に基づいて、仮想車両感知器情報を生成する。本実施形態では、仮想車両感知器情報として、仮想車両感知器が設定された位置の交通量および占有率を取得する。 The traffic situation estimation unit 53 estimates the traffic situation by estimation processing using a traffic flow model, and as a result, detailed traffic situation information as shown in FIG. 9 can be obtained. The traffic condition detailed information represents the traveling trajectory of each vehicle, that is, the temporal transition of the position of each vehicle. The virtual vehicle sensor information generation unit 54 generates virtual vehicle sensor information based on the traffic condition detailed information shown in FIG. In the present embodiment, the traffic volume and occupancy rate of the position where the virtual vehicle sensor is set are acquired as virtual vehicle sensor information.
　図９に示す例では、各ノード（交差点）Ｎ１～Ｎ８を結ぶリンク（道路）Ｌ１～Ｌ７のうち、リンクＬ２，Ｌ５，Ｌ７に仮想車両感知器が設定されており、この仮想車両感知器が設定された位置の交通状況詳細情報から、各仮想車両感知器に対応する仮想車両感知器情報（交通量および占有率）を生成する。本実施形態では、時点Ｔを基準にした収集期間、具体的には、時点Ｔから所定時間だけ過去に遡った期間における交通状況詳細情報から、時点Ｔの仮想車両感知器情報を生成する。なお、収集期間は、交通管理の単位時間（例えば５分）またはその整数倍とするとよい。 In the example shown in FIG. 9, among the links (roads) L1 to L7 connecting the nodes (intersections) N1 to N8, virtual vehicle detectors are set to the links L2, L5 and L7, and the virtual vehicle detectors are Virtual vehicle sensor information (traffic volume and occupancy rate) corresponding to each virtual vehicle sensor is generated from the traffic condition detail information of the set position. In the present embodiment, virtual vehicle sensor information at time T is generated from traffic condition detailed information in a collection period based on the time T, specifically, a period retroactive to a predetermined time from the time T. The collection period may be a unit time of traffic management (for example, 5 minutes) or an integral multiple thereof.
　ここで、図９に示す交通状況詳細情報は、各車両の走行状況を再現したものであり、各車両の挙動を把握することができ、特に、仮想車両感知器が設定された位置に注目することで、仮想車両感知器の位置を車両がどのように通過したかを把握することができる。これにより、仮想車両感知器の位置での交通量、すなわち、単位時間内に通過した車両の台数を取得することができる。また、仮想車両感知器の位置での占有率（時間占有率）、すなわち、単位時間内に車両が存在していた時間の割合を取得することができる。 Here, the traffic condition detailed information shown in FIG. 9 is a reproduction of the traveling condition of each vehicle, and it is possible to grasp the behavior of each vehicle, and in particular, pay attention to the position where the virtual vehicle sensor is set. Thus, it is possible to grasp how the vehicle has passed the position of the virtual vehicle sensor. As a result, it is possible to acquire the traffic volume at the position of the virtual vehicle sensor, that is, the number of vehicles having passed within the unit time. In addition, it is possible to obtain an occupancy rate (time occupancy rate) at the position of the virtual vehicle sensor, that is, a ratio of time during which a vehicle is present in unit time.
　以上のように、本出願において開示する技術の例示として、実施形態を説明した。しかしながら、本開示における技術は、これに限定されず、変更、置き換え、付加、省略などを行った実施形態にも適用できる。また、上記の実施形態で説明した各構成要素を組み合わせて、新たな実施形態とすることも可能である。 As described above, the embodiment has been described as an example of the technology disclosed in the present application. However, the technology in the present disclosure is not limited to this, and can be applied to embodiments in which changes, replacements, additions, omissions, and the like have been made. Moreover, it is also possible to combine each component demonstrated by said embodiment, and to set it as a new embodiment.
　例えば、前記の実施形態では、交通状況の推計結果から取得した仮想車両感知器情報を用いて信号制御を行うようにしたが、仮想車両感知器情報を用いて、車両の運転者に提供する交通情報を生成するようにしてもよい。この場合も、信号制御の場合と同様に、交通情報を生成するための現行の制御内容を大幅に変更することなく、車両感知器を削減することができる。 For example, in the above embodiment, signal control is performed using virtual vehicle sensor information acquired from the estimation result of traffic conditions, but traffic provided to the driver of a vehicle using virtual vehicle sensor information Information may be generated. Also in this case, as in the case of signal control, it is possible to reduce the number of vehicle sensors without significantly changing the current control content for generating traffic information.
　また、前記の実施形態では、既設の車両感知器の廃止を前提にして、その既設の車両感知器の代わりになる仮想車両感知器を設定して、その仮想車両感知器に関する仮想車両感知器情報を生成するようにしたが、信号制御の精度を向上させるなど、交通管制システムの機能を高める目的で、既設の車両感知器とは別の位置に仮想車両感知器を設定して、その仮想車両感知器に関する仮想車両感知器情報と、既設の車両感知器による車両感知器情報とに基づいて制御を行うようにしてもよい。 Further, in the above embodiment, on the premise of the abolition of the existing vehicle sensor, the virtual vehicle sensor information regarding the virtual vehicle sensor is set by setting the virtual vehicle sensor to be substituted for the existing vehicle sensor. However, in order to improve traffic control system functions, such as to improve the accuracy of signal control, the virtual vehicle sensor is set at a position different from the existing vehicle detectors, and the virtual vehicle is generated. Control may be performed based on virtual vehicle sensor information on a sensor and vehicle sensor information from an existing vehicle sensor.
　また、本実施形態では、交通管理装置を、交通管理に係る既存の機能を実現する第１の交通管理部と、交通管理に係る新規の機能を実現する第２の交通管理部とで分けて構成し、既存の機能に新規の機能を付加するようにしたが、第１の交通管理部の機能と第２の交通管理部の機能をひとつにまとめて、既存の装置（第１の交通管理部）と入れ替えるように交通管理装置を構成するようにしてもよい。 Further, in the present embodiment, the traffic management apparatus is divided into a first traffic management unit that realizes an existing function related to traffic management and a second traffic management unit that realizes a new function related to traffic management. It is configured to add a new function to the existing function, but the function of the first traffic management unit and the function of the second traffic management unit are put together into one existing device (first traffic management The traffic management device may be configured to replace the traffic management device.
　また、前記の実施形態では、交通管理装置自身で単位エリアの範囲を決定するようにしたが、ユーザが単位エリアの範囲を決定して、ユーザにより入力された単位エリアに関する情報に基づいて単位エリアを設定する処理が交通管理装置で行われるようにしてもよい。 In the above embodiment, the traffic management apparatus itself determines the range of the unit area, but the user determines the range of the unit area, and the unit area is determined based on the information on the unit area input by the user. The process of setting the may be performed by the traffic management device.
　本発明に係る交通管理装置、交通管理システムおよび交通管理方法は、信号制御などの交通管理の制御内容を大幅に変更することなく、車両感知器を削減することができる効果を有し、対象エリア内に設置された車両感知器により取得した車両感知器情報に基づいて、対象エリア内の交通管理を行う交通管理装置、交通管理システムおよび交通管理方法などとして有用である。 A traffic management apparatus, a traffic management system, and a traffic management method according to the present invention have the effect of being able to reduce the number of vehicle detectors without significantly changing the control content of traffic management such as signal control, and a target area It is useful as a traffic management apparatus, a traffic management system, a traffic management method, etc. that performs traffic management in a target area based on vehicle sensor information acquired by a vehicle sensor installed inside.
１　車両感知器
２　信号制御機
３　交通管理装置
２１　通信部
２２　制御部
２３　記憶部
４１　制御部
４２　記憶部 Reference Signs List 1 vehicle sensor 2 signal controller 3 traffic management device 21 communication unit 22 control unit 23 storage unit 41 control unit 42 storage unit

Claims (9)

  1. 　対象エリア内に設置された車両感知器により取得した車両感知器情報に基づいて、対象エリア内の交通管理を行う交通管理装置であって、
    　前記車両感知器から前記車両感知器情報を受信する通信部と、
    　前記車両感知器情報に基づいて、前記対象エリア内の交通管理に係る情報処理を行う制御部と、を備え、
    　前記制御部は、
    　前記対象エリア内に単位エリアを設定し、
    　前記車両感知器情報、および前記対象エリア内に設置された信号制御機に関する信号制御実績情報に基づいて、前記単位エリアを対象として交通流モデルを用いた推計処理を行って、前記単位エリア内の交通状況に関する情報を取得し、
    　前記単位エリアの交通状況に関する情報に基づいて、前記単位エリア内の所定の位置に車両感知器が設置されたとみなす仮想車両感知器により取得したものとして取り扱う仮想車両感知器情報を生成することを特徴とする交通管理装置。     A traffic management apparatus that manages traffic in a target area based on vehicle sensor information acquired by a vehicle sensor installed in the target area,
    A communication unit that receives the vehicle sensor information from the vehicle sensor;
    A control unit that performs information processing related to traffic management in the target area based on the vehicle sensor information;
    The control unit
    Set a unit area in the target area,
    An estimation process using a traffic flow model is performed on the unit area based on the vehicle sensor information and the signal control result information on the signal controller installed in the target area, and an estimation process on the unit area is performed. Get information about traffic conditions,
    It is characterized in that virtual vehicle sensor information to be treated as acquired by a virtual vehicle sensor which is considered to be installed at a predetermined position in the unit area based on the information on the traffic situation of the unit area is generated. Traffic management equipment.
  2. 　前記制御部は、前記仮想車両感知器情報として、前記仮想車両感知器を設定した位置における交通量および占有率を取得することを特徴とする請求項１に記載の交通管理装置。 The traffic management device according to claim 1, wherein the control unit acquires, as the virtual vehicle sensor information, a traffic volume and an occupancy rate at a position where the virtual vehicle sensor is set.
  3. 　前記制御部は、境界位置に前記車両感知器が配置されて、この車両感知器により前記単位エリアに流入する交通量に関する情報を取得可能なように、前記単位エリアを設定することを特徴とする請求項１に記載の交通管理装置。 The control unit may set the unit area such that the vehicle sensor is disposed at a boundary position and information on traffic flowing into the unit area can be acquired by the vehicle sensor. The traffic management device according to claim 1.
  4. 　前記制御部は、前記単位エリア内に設置された廃止予定の車両感知器の位置に前記仮想車両感知器を設定することを特徴とする請求項１に記載の交通管理装置。 The traffic management device according to claim 1, wherein the control unit sets the virtual vehicle sensor at a position of a vehicle sensor to be discontinued installed in the unit area.
  5. 　前記制御部は、前記仮想車両感知器情報に基づいて、前記信号制御機を制御するための信号制御情報を生成し、
    　前記通信部は、前記信号制御情報を前記信号制御機に送信することを特徴とする請求項１に記載の交通管理装置。     The control unit generates signal control information for controlling the signal controller based on the virtual vehicle sensor information.
    The traffic management device according to claim 1, wherein the communication unit transmits the signal control information to the signal controller.
  6. 　前記制御部は、前記対象エリアにおける前記車両感知器の設置状況に関する情報、および前記対象エリア内の道路網の構成に関する情報に基づいて、前記単位エリアを決定することを特徴とする請求項１に記載の交通管理装置。 2. The apparatus according to claim 1, wherein the control unit determines the unit area based on information on an installation state of the vehicle sensor in the target area and information on a configuration of a road network in the target area. Traffic management device as described.
  7. 　前記制御部は、前記車両感知器情報、前記信号制御実績情報、および前記単位エリア内の道路網の構成に関する情報に基づいて、前記単位エリア内の交通状況を推計することを特徴とする請求項１に記載の交通管理装置。 The control unit estimates traffic conditions in the unit area based on the vehicle sensor information, the signal control result information, and information on the configuration of a road network in the unit area. The traffic management device according to 1.
  8. 　対象エリア内に設置された車両感知器と、この車両感知器により取得した車両感知器情報に基づいて、対象エリア内の交通管理を行う交通管理装置と、を備える交通管理システムであって、
    　前記交通管理装置は、
    　前記車両感知器から前記車両感知器情報を受信する通信部と、
    　前記車両感知器情報に基づいて、前記対象エリア内の交通管理に係る情報処理を行う制御部と、
    を備え、
    　前記制御部は、
    　前記対象エリア内に単位エリアを設定し、
    　前記車両感知器情報、および前記対象エリア内に設置された信号制御機に関する信号制御実績情報に基づいて、前記単位エリアを対象として交通流モデルを用いた推計処理を行って、前記単位エリア内の交通状況に関する情報を取得し、
    　前記単位エリアの交通状況に関する情報に基づいて、前記単位エリア内の所定の位置に車両感知器が設置されたとみなす仮想車両感知器により取得したものとして取り扱う仮想車両感知器情報を生成することを特徴とする交通管理システム。     A traffic management system comprising: a vehicle sensor installed in a target area; and a traffic management device that performs traffic management in the target area based on vehicle sensor information acquired by the vehicle sensor,
    The traffic management device
    A communication unit that receives the vehicle sensor information from the vehicle sensor;
    A control unit that performs information processing related to traffic management in the target area based on the vehicle sensor information;
    Equipped with
    The control unit
    Set a unit area in the target area,
    An estimation process using a traffic flow model is performed on the unit area based on the vehicle sensor information and the signal control result information on the signal controller installed in the target area, and an estimation process on the unit area is performed. Get information about traffic conditions,
    It is characterized in that virtual vehicle sensor information to be treated as acquired by a virtual vehicle sensor which is considered to be installed at a predetermined position in the unit area based on the information on the traffic situation of the unit area is generated. Traffic management system.
  9. 　交通管理装置において、対象エリア内に設置された車両感知器により取得した車両感知器情報に基づいて、対象エリア内の交通管理を行う交通管理方法であって、
    　前記対象エリア内に単位エリアを設定し、
    　前記車両感知器情報、および前記対象エリア内に設置された信号制御機に関する信号制御実績情報に基づいて、前記単位エリアを対象として交通流モデルを用いた推計処理を行って、前記単位エリア内の交通状況に関する情報を取得し、
    　前記単位エリアの交通状況に関する情報に基づいて、前記単位エリア内の所定の位置に車両感知器が設置されたとみなす仮想車両感知器により取得したものとして取り扱う仮想車両感知器情報を生成し、
    　前記車両感知器情報および前記仮想車両感知器情報に基づいて、前記信号制御機を制御する信号制御情報を生成することを特徴とする交通管理方法。     A traffic management method, wherein traffic management is performed in a target area based on vehicle sensor information acquired by a vehicle sensor installed in the target area,
    Set a unit area in the target area,
    An estimation process using a traffic flow model is performed on the unit area based on the vehicle sensor information and the signal control result information on the signal controller installed in the target area, and an estimation process on the unit area is performed. Get information about traffic conditions,
    Generating virtual vehicle sensor information to be handled as acquired by a virtual vehicle sensor that assumes that a vehicle sensor is installed at a predetermined position within the unit area, based on information on traffic conditions of the unit area;
    A traffic management method, comprising: generating signal control information for controlling the signal controller based on the vehicle sensor information and the virtual vehicle sensor information.
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