CN116363861A - Intelligent traffic system - Google Patents

Intelligent traffic system Download PDF

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Publication number
CN116363861A
CN116363861A CN202211601200.3A CN202211601200A CN116363861A CN 116363861 A CN116363861 A CN 116363861A CN 202211601200 A CN202211601200 A CN 202211601200A CN 116363861 A CN116363861 A CN 116363861A
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road
traffic
monitored
subsystem
information
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Inventor
周俊杰
钟会玲
刘星
金峻臣
虞霄璐
王晨
刘畅
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Zhejiang Supcon Information Industry Co Ltd
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Zhejiang Supcon Information Industry Co Ltd
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    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/25—Fusion techniques
    • G06F18/251—Fusion techniques of input or preprocessed data
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0125—Traffic data processing
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/048—Detecting movement of traffic to be counted or controlled with provision for compensation of environmental or other condition, e.g. snow, vehicle stopped at detector
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/065—Traffic control systems for road vehicles by counting the vehicles in a section of the road or in a parking area, i.e. comparing incoming count with outgoing count
    • 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
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/09—Arrangements for giving variable traffic instructions
    • G08G1/095—Traffic lights
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/097—Supervising of traffic control systems, e.g. by giving an alarm if two crossing streets have green light simultaneously
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/123—Traffic control systems for road vehicles indicating the position of vehicles, e.g. scheduled vehicles; Managing passenger vehicles circulating according to a fixed timetable, e.g. buses, trains, trams
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/10—Protocols in which an application is distributed across nodes in the network
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • H04L67/125—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks involving control of end-device applications over a network

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Abstract

The application provides an intelligent transportation system, which belongs to the technical field of transportation. The system comprises: comprising the following steps: the road junction terminal subsystem is used for acquiring road traffic information of a road to be monitored and sending the road traffic information to the edge computing subsystem; the edge computing subsystem is used for determining the current state of the road to be monitored according to the wireless signals and the image information, sending a control instruction to the intersection terminal subsystem according to the current state so as to control traffic of the road to be monitored, carrying out data conversion fusion processing on the wireless signals and the image information, and sending the video fusion data and the current state obtained after the processing to the cloud terminal system. The method and the device can realize real-time holographic monitoring of the intersection and can regulate and control based on the emergency, and smoothness and safety of the intersection are improved.

Description

Intelligent traffic system
Technical Field
The application relates to the technical field of transportation, in particular to an intelligent transportation system.
Background
Along with the increasing number of vehicles, the traffic pressure of various intersections in cities is increased, and in order to better realize the control of traffic at the intersections, a traffic system is required to be arranged to realize the monitoring and control of roads.
In the prior art, the adopted technical scheme is to realize the control of the traffic of the crossing in a mode of directly controlling the traffic signal lamp through a timing traffic signal lamp or a cloud end.
However, the timing traffic signal lamp cannot be suitable for the emergency, and the cloud directly controls the traffic signal lamp with a certain control delay, so that the traffic signal lamp cannot be regulated and controlled in time when the emergency occurs at the road.
Disclosure of Invention
The utility model aims at providing an intelligent transportation system can realize the real-time holographic control to the crossing and can regulate and control based on the incident, improves the patency and the security of crossing.
Embodiments of the present application are implemented as follows:
in one aspect of the embodiments of the present application, there is provided an intelligent transportation system, including: the road junction terminal subsystem, the edge computing subsystem and the cloud subsystem are arranged in a traffic area where a road to be monitored is located;
the edge computing subsystem is respectively in communication connection with the intersection terminal subsystem and the cloud subsystem;
the intersection terminal subsystem is used for acquiring road traffic information of a road to be monitored and sending the road traffic information to the edge computing subsystem, wherein the road traffic information comprises: wireless signals and image information of traffic areas where roads to be monitored are located;
the edge computing subsystem is used for determining the current state of the road to be monitored according to the wireless signals and the image information, sending a control instruction to the intersection terminal subsystem according to the current state so as to control traffic of the road to be monitored, carrying out data conversion fusion processing on the wireless signals and the image information, and sending the video fusion data and the current state obtained after the processing to the cloud terminal system.
Optionally, the intersection terminal subsystem includes: an environment collection device and a traffic control device;
the environment acquisition equipment is in communication connection with the edge calculation subsystem and is used for acquiring road traffic information of the road to be monitored and sending the road traffic information of the road to be monitored to the edge calculation subsystem;
the traffic control device is in communication connection with the edge computing subsystem and is used for generating traffic prompt signals based on control instructions sent by the edge computing subsystem.
Optionally, the environment acquisition device includes: traffic radar, visual perception device;
the traffic radar is used for determining road environment information in a road to be monitored, and the road environment information comprises at least one of the following: real-time positioning data of vehicles, multi-section traffic flow, lane queuing length, abnormal traffic event information and customized data;
the visual perception device is used for determining vehicle information in a road to be monitored, and the vehicle information comprises at least one of the following: target position of the vehicle, characteristic information of the vehicle.
Optionally, the environment acquisition device further comprises: an intelligent cabinet;
the intelligent cabinet is used for determining environment state information of an environment where a road to be monitored is located, and the environment state information comprises at least one of the following: safety information, current climate information and power information of each device.
Optionally, the traffic control device includes: road traffic signal controller and road traffic signal lamp;
the road traffic signal controller is used for generating a first control signal according to the control instruction sent by the edge calculation subsystem and sending the first control signal to the road traffic signal lamp;
the road traffic signal lamp is used for generating a traffic prompt signal according to the first control signal.
Optionally, the traffic control device further comprises: a variable guide lane controller and a variable guide lane indicator;
the variable guiding lane controller is used for generating a second control signal according to the control instruction sent by the edge computing subsystem and sending the second control signal to the variable guiding lane indication mark;
the variable guide lane indication mark is used for generating a lane indication signal according to the second control signal.
Optionally, the edge computing subsystem comprises: the system comprises a visual intelligent identification module, a radar video fitting module and a signal control optimization module;
the visual intelligent recognition module is used for receiving the image information of the road to be monitored, which is sent by the intersection terminal subsystem, determining the current state of the road to be monitored based on the image information, and sending the current state to the cloud terminal system, wherein the current state is used for indicating whether the road to be monitored is abnormal or not;
the radar video fitting module is used for receiving wireless signals and image information of the road to be monitored, which are sent by the intersection terminal subsystem, generating video fusion data based on the wireless signals and the image information, and sending the video fusion data to the cloud terminal system;
the signal control optimization module is used for generating a control instruction according to the current state determined by the visual intelligent recognition module and sending the control instruction to the intersection terminal subsystem so as to control traffic of the road to be monitored.
Optionally, the cloud subsystem includes: a central base platform and business application services;
the central basic platform is used for receiving the current state of the road to be monitored and video fusion data sent by the edge computing subsystem;
the business application service is used for displaying the current state and the video fusion data.
Optionally, the central base platform comprises: the system comprises a central hardware server, an object coupling platform, a data management platform, an algorithm management platform and a service support platform.
Optionally, the business application service includes: equipment asset management service, traffic parallel simulation service, operation index monitoring service, intelligent signal control service, event monitoring and early warning service and video intelligent linkage service.
The beneficial effects of the embodiment of the application include:
in the intelligent traffic system provided by the embodiment of the application, the current state of the road to be monitored can be determined according to the wireless signals and the image information through the edge computing subsystem, a control instruction can be sent to the intersection terminal subsystem according to the current state to control traffic of the road to be monitored, data conversion and fusion processing are carried out on the wireless signals and the image information, video fusion data obtained after processing and the current state are sent to the cloud terminal system, wherein the real-time monitoring of the road to be monitored can be achieved through the processing of the edge computing subsystem, real-time information of the road can be fed back to the cloud subsystem in time, and when an emergency occurs on the road to be monitored, regulation and control can be carried out in time, namely, the smoothness and safety of the road to be monitored can be improved. In addition, the edge computing subsystem is arranged in a traffic area where the road to be monitored is located, and can obtain a computing result more quickly when computing, so that bandwidth occupation is saved, and computing complexity is reduced.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered limiting the scope, and that other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic structural diagram of an intelligent transportation system according to an embodiment of the present application;
fig. 2 is another schematic structural diagram of the intelligent transportation system according to the embodiment of the present application;
fig. 3 is another schematic structural diagram of the intelligent transportation system according to the embodiment of the present application;
fig. 4 is another schematic structural diagram of the intelligent transportation system provided in the embodiment of the present application;
fig. 5 is another schematic structural diagram of an intelligent transportation system according to an embodiment of the present application;
fig. 6 is another schematic structural diagram of an intelligent transportation system according to an embodiment of the present disclosure;
fig. 7 is another schematic structural diagram of an intelligent transportation system according to an embodiment of the present disclosure;
fig. 8 is a schematic diagram of an overall structure of an intelligent transportation system according to an embodiment of the present application.
Icon: 110-an intersection terminal subsystem; 120-an edge computing subsystem; 130-cloud subsystem; 210-an environmental collection device; 220-traffic control equipment; 310-traffic radar; 320-visual perception device; 330-intelligent cabinet; 410-road traffic signal controller; 420-road traffic signal lamp; 510—a variable guide lane controller; 520-variable guide lane indicators; 610-a visual intelligent recognition module; 620-a radar video fitting module; 630-a signal control optimization module; 710—a central base platform; 720-business application services.
Detailed Description
For the purposes of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments. The components of the embodiments of the present application, which are generally described and illustrated in the figures herein, may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present application, as provided in the accompanying drawings, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures.
In the description of the present application, it should be noted that the terms "first," "second," "third," and the like are used merely to distinguish between descriptions and are not to be construed as indicating or implying relative importance.
The specific structure and connection relationship of the intelligent transportation system provided in the implementation of the present application are specifically explained below.
Fig. 1 is a schematic structural diagram of an intelligent traffic system provided in an embodiment of the present application, referring to fig. 1, the intelligent traffic system includes: the intersection terminal subsystem 110, the edge computing subsystem 120 and the cloud subsystem 130, wherein the intersection terminal subsystem 110 and the edge computing subsystem 120 are arranged in a traffic area where a road to be monitored is located; the edge computing subsystem 120 is communicatively connected to the intersection terminal subsystem 110 and the cloud subsystem 130, respectively.
Alternatively, the intersection terminal subsystem 110 may be specifically arranged according to actual requirements, for example: the relevant terminal equipment for information acquisition can be arranged at each direction road section of the road to be monitored, the relevant terminal equipment for traffic prompt can be arranged at an intersection or a special prompt point of the road to be monitored, and the relevant terminal equipment for control calculation can be arranged at any position in a traffic area where the road to be monitored is located.
The edge computing subsystem 120 may also be deployed at any location within the traffic area where the road to be monitored is located, for example: roadsides.
The cloud subsystem 130 may be disposed in a cloud server, which may be disposed at any location, and may not be disposed in a traffic area where a road to be monitored is located, for example: may be provided in areas such as road monitoring stations, and is not particularly limited herein.
For various subsystems, the intersection terminal subsystem 110 is configured to obtain road traffic information of a road to be monitored, and send the road traffic information to the edge computing subsystem 120, where the road traffic information includes: wireless signals and image information of traffic areas where roads to be monitored are located; the edge computing subsystem 120 is configured to determine a current state of a road to be monitored according to the wireless signal and the image information, send a control instruction to the intersection terminal subsystem 110 according to the current state to control traffic of the road to be monitored, perform data conversion fusion processing on the wireless signal and the image information, and send video fusion data and the current state obtained after the processing to the cloud terminal system 130.
It should be noted that, for the intersection terminal subsystem 110, multiple types of devices may be included, where multiple devices may be set on the road to be monitored, and multiple devices may be disposed at different positions as needed.
For the edge computing subsystem 120, it may be composed of at least one device that may be divided into a plurality of different modules based on different computing functions to implement different types of computing functions.
It should be noted that, for each road to be monitored, the corresponding intersection terminal subsystem 110 and the edge computing subsystem 120 may be provided, and the cloud subsystem may correspondingly monitor a plurality of roads to be monitored.
For example, a city may include thousands of roads to be monitored, and a cloud subsystem 130 may be configured to monitor the city roads, and for each road to be monitored, there may be a set of road-port terminal subsystems 110 and a set of edge computing subsystems 120.
For the whole intelligent traffic system, various road traffic information of the road to be monitored can be obtained in real time through the intersection terminal subsystem 110, for example: the wireless signal acquired by the radar and other types of equipment, the image information acquired by the camera and other types of equipment, and the like, and the acquired road traffic information can be sent to the edge computing subsystem 120, and then the edge computing subsystem 120 can determine the current state of the road to be monitored according to the wireless signal and the image information, send a control instruction to the intersection terminal subsystem according to the current state so as to control traffic of the road to be monitored, and perform data conversion fusion processing on the wireless signal and the image information, and send the video fusion data obtained after the processing and the current state to the cloud terminal system 130. The traffic control may be, for example, adjusting the time of the traffic lights at the intersection of the road to be monitored. The cloud subsystem 130 may implement data visualization processing after receiving the video fusion data and the current state, for example, may generate a holographic monitoring road image based on the video fusion data, so that a user can check the condition of the road in real time, or an emergency occurs on the road, for example: traffic accidents, traffic jams, natural disasters, etc., can report the situation in time.
In the intelligent traffic system provided by the embodiment of the application, the current state of the road to be monitored can be determined according to the wireless signals and the image information through the edge computing subsystem, a control instruction can be sent to the intersection terminal subsystem according to the current state to control traffic of the road to be monitored, data conversion and fusion processing are carried out on the wireless signals and the image information, video fusion data obtained after processing and the current state are sent to the cloud terminal system, wherein the real-time monitoring of the road to be monitored can be achieved through the processing of the edge computing subsystem, real-time information of the road can be fed back to the cloud subsystem in time, and when an emergency occurs on the road to be monitored, regulation and control can be carried out in time, namely, the smoothness and safety of the road to be monitored can be improved. In addition, the edge computing subsystem is arranged in a traffic area where the road to be monitored is located, and can obtain a computing result more quickly when computing, so that bandwidth occupation is saved, and computing complexity is reduced.
The specific structure of the intersection terminal subsystem and the type of equipment involved provided in the embodiments of the present application are specifically explained below.
Fig. 2 is another schematic structural diagram of an intelligent traffic system provided in an embodiment of the present application, referring to fig. 2, an intersection terminal subsystem includes: the environment collection device 210 and the traffic control device 220.
The environment collection device 210 is in communication connection with the edge computing subsystem 120, and the environment collection device 210 is configured to collect road traffic information of a road to be monitored and send the road traffic information of the road to be monitored to the edge computing subsystem 120; the traffic control device 220 is communicatively connected to the edge computing subsystem 120, and the traffic control device 220 is configured to generate a traffic cue signal based on control instructions sent by the edge computing subsystem.
Optionally, for the environment collection device 210, collection of road traffic information of the road to be monitored may be achieved, different types of data may be collected based on different device types, after the road traffic information is collected, the data may be sent to the edge computing subsystem 120 to perform related computation, after the edge computing subsystem 120 performs related computation, related control instructions may be sent to the traffic control device 220, and the traffic control device 220 may generate traffic prompt signals based on the control instructions, so as to achieve regulation and control of the whole road to be monitored.
In order to more clearly explain the above two types of devices in detail, explanation will be made below on the specific device types included in the environment-collecting device and the traffic-controlling device, respectively.
Fig. 3 is another schematic structural diagram of an intelligent transportation system provided in an embodiment of the present application, referring to fig. 3, an environment collection device includes: traffic radar 310, visual perception device 320.
The traffic radar 310 is configured to determine road environment information in a road to be monitored, where the road environment information includes at least one of the following: real-time positioning data of vehicles, multi-section traffic flow, lane queuing length, abnormal traffic event information and customized data; the visual perception device 320 is used for determining vehicle information in a road to be monitored, the vehicle information including at least one of the following: target position of the vehicle, characteristic information of the vehicle.
Optionally, the traffic radar 310 may detect the instant position, speed, etc. of the passing vehicle in the traffic area where the road to be monitored is located in real time, and may provide a corresponding wireless signal, so as to provide data support for traffic applications such as signal control, parallel simulation, etc. Traffic radar 310 may produce immediate location data with vehicle type classification, multi-section traffic flow, lane queuing length, abnormal traffic event information, and other customized data.
Optionally, the visual sensing device 320 may detect the positions, features, and the like of the past motor vehicles and the non-motor vehicle targets in the traffic area where the road to be monitored is located in real time, and may provide corresponding image information, so as to provide data support for traffic applications such as parallel simulation of traffic flow, event monitoring and early warning, and the like. The video streaming format of the visual perception device 320 may conform to the RTSP (Real Time Streaming Protocol, real-time streaming protocol) standard, and the visual perception device 320 may generate real-time video data and license plate information.
In particular, the traffic radar 310 may be any type of radar device, and the visual perception device 320 may be any type of photographing and video recording device, which is not particularly limited herein.
In order to more accurately represent the relevant information acquired and collected by the traffic radar 310 and the visual perception device 320 in the embodiment of the present application, the following is specifically shown in a table form.
List one
Figure BDA0003995250050000091
The first column 1-4 in the first table is basic information of the traffic radar, 5-24 is specific information of each target (for example, a motor vehicle or a non-motor vehicle, etc.), what is shown in the table is only an example, and when in actual setting, one or more of the table can be selected for corresponding setting according to actual requirements, other related requirement information can be additionally set, and other contents in the table are specific examples of the output data, which are only taken as a display mode and are not limited in particular.
Watch II
Figure BDA0003995250050000101
Wherein, table two is a visual perception device output information schematic table, 1-5 in the first column in table two is the state information of each visual perception device in the scene, 6-7 is the basic information of the perception device arranged at the entrance of each road, 8-16 is the specific information of each target (for example, motor vehicle or non-motor vehicle and the like) identified by the perception device. The other contents in table two are specific examples of the output data, which are only used as a way of illustration, and are not limited in particular.
Optionally, the environment acquisition device further comprises: and an intelligent cabinet 330. The intelligent cabinet 330 is configured to determine environmental status information of an environment where the road to be monitored is located, where the environmental status information includes at least one of the following: safety information, current climate information and power information of each device.
It should be noted that, for the intelligent cabinet 330, electronic lock control, door status detection, environment monitoring, power detection, lightning protection device management and independent power management of the outdoor cabinet may be provided for each relevant device disposed in the traffic area where the road to be monitored is located, so as to implement safe and reliable operation of the whole system.
The intelligent cabinet 330 has the functions of detecting and reporting environmental parameters such as temperature, humidity, water level, smoke, vibration and the like, and can remotely alarm when the cabinet door is opened without authorization.
Fig. 4 is another schematic structural diagram of an intelligent traffic system provided in an embodiment of the present application, referring to fig. 4, a traffic control device includes: road traffic signal controller 410 and road traffic signal lamp 420.
The road traffic signal controller 410 is configured to generate a first control signal according to the control instruction sent by the edge computing subsystem, and send the first control signal to the road traffic signal lamp 420; the road traffic signal lamp 420 is used for generating a traffic prompt signal according to the first control signal.
Optionally, the road traffic signal controller 410 can change the order of the road traffic signals, regulate timing, and command the traffic order of the intersections by controlling the road traffic signal lamps 420, and can support the functions of yellow-flashing control, multi-period control, manual control, inductive control, cable-free coordination control, networking control, single-point optimization control and priority control.
The road traffic signal 420 may display a lighting pattern according to a first control signal output from the road traffic signal controller 410, directing the traffic of motor vehicles, non-motor vehicles, pedestrians. The road traffic signal lamp 420 can be an intelligent signal lamp, can have a fault detection function, supports automatic fault detection and fault information uploading, and realizes real-time monitoring of the running state of the signal lamp and fault alarm.
The device structure and association relation of other specific devices that the traffic control device may also include are specifically explained below.
Fig. 5 is another schematic structural diagram of an intelligent traffic system provided in an embodiment of the present application, referring to fig. 5, the traffic control device further includes: a variable guide lane controller 510 and a variable guide lane indicator 520.
The variable guiding lane controller 510 is configured to generate a second control signal according to the control instruction sent by the edge computing subsystem, and send the second control signal to the variable guiding lane indicator 520; the variable guide lane indication flag 520 is used to generate a lane indication signal based on the second control signal.
Alternatively, the variable guiding lane controller 510 may output a corresponding control signal according to the characteristics of the vehicle flow direction at different time periods, and issue corresponding lane flow direction information through the variable guiding lane indication mark, so as to relieve traffic pressure. The variable guide lane controller supports fixed time period control and networking control, and can be controlled by a central platform or remotely and manually controlled.
The variable guide lane indicator 520 may accurately issue indication information of left turn, straight run, etc. of the entrance lane in real time according to the second control signal output from the variable guide lane controller 510. The lane pattern may be, for example, a white LED (Light-Emitting Diode) array in which variable arrows are arranged, indicating the guiding direction of the variable guiding lanes.
The following specifically explains the specific structural relationship of the edge computing subsystem in the intelligent transportation system provided in the embodiment of the present application.
Fig. 6 is another schematic structural diagram of an intelligent transportation system according to an embodiment of the present application, referring to fig. 6, an edge computing subsystem includes: a visual intelligent recognition module 610, a radar video fitting module 620, and a signal control optimization module 630.
The visual intelligent recognition module 610 is configured to receive image information of a road to be monitored sent by the intersection terminal subsystem 110, determine a current state of the road to be monitored based on the image information, and send the current state to the cloud terminal system 130, where the current state is used to indicate whether the road to be monitored is abnormal currently; the radar video fitting module 620 is configured to receive the wireless signal and the image information of the road to be monitored sent by the intersection terminal subsystem 110, generate video fusion data based on the wireless signal and the image information, and send the video fusion data to the cloud terminal system 130; the signal control optimizing module 630 is configured to generate a control instruction according to the current state determined by the visual intelligent identifying module 610, and send the control instruction to the intersection terminal subsystem 110 to perform traffic control on the road to be monitored.
Optionally, the edge computing subsystem may specifically implement its corresponding function in an edge intelligent substation, where the edge intelligent substation may be used as a hardware infrastructure for edge computing, access relevant information sent by the intersection terminal subsystem 110, such as the above-mentioned immediate positioning data, multi-section traffic flow, lane queuing length, abnormal traffic event information, license plate information, real-time video data, and other customized data, and may provide operation resources and environments for edge intelligent applications such as the visual intelligent recognition module 610, the radar video fitting module 620, and the signal control optimization module 630.
Wherein the visual intelligent recognition module 610 is deployed in an edge intelligent substation, may be based on image information, for example: the real-time video data provides functions of vehicle tracking, abnormal event recognition and the like, and realizes continuous detection of the instant position and speed information of the target vehicle and intelligent recognition of accidents, illegal and abnormal behaviors and other events on the road. That is, the visual intelligent recognition module 610 may perform recognition processing based on both image information and radar signals.
The visual intelligent recognition module can recognize and track the vehicle by using the four-direction real-time electric police video stream data, and recognize abnormal events such as red light running, motor vehicle lane occupation, non-motor vehicle reverse running, non-motor vehicle illegal manned, non-motor vehicle without helmet, traffic accident and the like.
The radar video fitting module 620 is deployed in the edge intelligent substation, and can use a radar fitting technology to fuse the detection data of the traffic radar 310 and the detection data of the visual perception device 320 in real time, so as to realize more accurate running track fitting and multidimensional information integration aiming at the intersection targets, and provide data support for traffic flow parallel simulation and other business applications.
Specifically, when radar video matching is performed, firstly, coordinate conversion can be performed on radar data, different tracks are divided into tracks of intersections or road sections according to the coordinate values of the data, then tracks obtained by identifying a certain target through the same radar are connected, fusion of tracks obtained by identifying the same target through a plurality of radars is realized on the basis, a complete track of the certain target on the intersections and the road sections is obtained, finally, the complete track can be fused with video data in the intersections, and data support is provided for holographic simulation of the intersections.
The signal control optimization module 630 is deployed in the edge intelligent substation, can perform parameter optimization of a signal control scheme according to real-time traffic state data of the intersection, provides the signal control scheme dynamically adapting to the current traffic state of the intersection, and supports single-point self-adaptive control, single-point full-induction control, congestion overflow control and variable guidance lane control functions.
Specifically, the module can perform parameter optimization of a signal control scheme according to the real-time traffic state data of the intersection, and feed the parameter optimization back to a road traffic signal controller and a road traffic intelligent signal lamp in the terminal equipment of the intersection to perform real-time adjustment and control. The method is characterized in that congestion overflow control is adopted for the intersections in the cases, the algorithm can sense the overflow state of the intersections in real time, and when overflow alarm is received, early-break/extension strategies are immediately executed to prevent the intersections from being knotted and locked. And then the flow directions of entering and leaving the overflow road section are coordinated to start simultaneously, and a signal scheme is calculated to balance the arrival rate and the departure rate of the overflow road section so as to prevent overflow from happening again.
Optionally, for the signal control optimization module 630, a corresponding control signal may also be sent to the cloud terminal system 130 to perform a control history.
The following specifically explains a specific structural relationship of a cloud terminal system in the intelligent transportation system provided in the embodiment of the present application.
Fig. 7 is another schematic structural diagram of an intelligent transportation system provided in an embodiment of the present application, referring to fig. 7, a cloud subsystem includes: center base platform 710 and business application services 720.
The central base platform 710 is configured to receive the current state of the road to be monitored and the video fusion data sent by the edge computing subsystem; the business application service 720 is used for displaying the current state and the video fusion data.
Optionally, central base platform 710 includes: the system comprises a central hardware server, an object coupling platform, a data management platform, an algorithm management platform and a service support platform.
The central base platform 710 is deployed in a hardware server in the central cloud, and can provide general functions such as internet of things access, data management, algorithm management, service support, and the like, and realize bidirectional interaction with the edge computing subsystem 120 to provide base support for the service application service 720.
Alternatively, the central hardware server, as the hardware infrastructure of the central cloud, may provide sufficient operating resources and a stable operating environment to the central base platform 710 and business application services 720.
The object coupling platform can provide data access and unified management functions for the edge computing subsystem 120 and the intersection terminal subsystem 110, and can support access of related terminal devices and edge devices, and manual control, automatic control, parameter setting, data receiving and device discovery functions of access devices.
The data management platform can support unified access, management, storage, inquiry and monitoring of multi-source heterogeneous data, provides real-time and efficient data service for business application, and has the functions of business metadata management, data quality management, data security management, data blood-edge management and the like.
The algorithm management platform can provide the functions of submitting, managing, configuring, publishing, monitoring and operation and maintenance of the algorithm module for algorithm developers and algorithm application personnel, realizes unified management, operation support and multidimensional monitoring of various algorithms, and supports operation resource monitoring, operation state monitoring and operation log query of the algorithm module.
The business support platform can provide general business functions required by business application services, including unified background management, service authorization control, message push notification, log storage retrieval and high-precision map services, so that the business development efficiency and multiplexing level are improved.
Optionally, the business application service 720 includes: equipment asset management service, traffic parallel simulation service, operation index monitoring service, intelligent signal control service, event monitoring and early warning service and video intelligent linkage service.
The service application service 720 is deployed at a hardware server of the central cloud, and can provide service functions such as parallel simulation of traffic flow, intelligent signal control, event monitoring and early warning for users based on the object coupling platform, the data management platform, the algorithm management platform and the service support platform, so that the application value of the holographic intelligent intersection is realized.
Optionally, the equipment asset management service can provide the functions of information display, asset management, abnormal alarm, data monitoring and the like of the accessed related equipment for the user, so that the visual unified management of the equipment asset in the holographic intelligent intersection is realized.
The traffic flow parallel simulation service can provide real-time dynamic track simulation of crossing vehicles and visual display of characteristic information such as license plates, vehicle types and the like for users based on real-time traffic flow information output by the radar video fitting module 620 in the edge computing subsystem 120 and high-precision map service contained in the service support platform, so that digital twin of the crossing traffic flows is realized.
The operation index monitoring service may provide the user with visual display and monitoring of the real-time operation index of the intersection traffic based on the real-time traffic flow information output by the radar video fitting module 620, so as to form a quantized description of the traffic state of the intersection.
The intelligent signal control service can provide the information display function of signal control scheme generation and management control for the user based on the signal control scheme optimizing capability of the signal control optimizing module 630, so as to realize the intellectualization and visualization of signal control.
The event monitoring and early warning service can provide real-time broadcasting and early warning functions of abnormal events for users based on the abnormal event recognition capability of the visual intelligent recognition module 610, and helps to achieve safe and orderly traffic control targets.
The video intelligent linkage service can control the action of the cradle head when an abnormal event occurs, and can realize the switching among multiple paths of cameras through the control host, so that the judgment of the supporting event, the restoration of the event process, the auxiliary evidence obtaining and responsibility fixing are realized, the quick position of the power-assisted accident is retracted, and the occurrence of a secondary congestion event is reduced.
The following specifically explains the overall structural relationship of the intelligent transportation system provided in the embodiment of the present application.
Fig. 8 is a schematic overall structure of an intelligent transportation system provided in an embodiment of the present application, referring to fig. 8, the system may include: intersection terminal subsystem 110, edge computing subsystem 120, and cloud subsystem 130.
Wherein, crossing terminal subsystem 110 includes: traffic radar 310, visual perception device 320, intelligent cabinet 330, road traffic signal controller 410, road traffic signal light 420, variable guide lane controller 510, and variable guide lane indicator 520.
The edge computation subsystem 120 includes: the system comprises a visual intelligent recognition module 610, a radar video fitting module 620 and a signal control optimization module 630, wherein the modules are arranged in an edge intelligent substation.
The cloud terminal system 130 includes: center base platform 710 and business application services 720.
In the intelligent traffic system provided by the embodiment of the application, the current state of the road to be monitored can be determined according to the wireless signals and the image information through the edge computing subsystem, a control instruction can be sent to the intersection terminal subsystem according to the current state to control traffic of the road to be monitored, data conversion and fusion processing are carried out on the wireless signals and the image information, video fusion data obtained after processing and the current state are sent to the cloud terminal system, wherein the real-time monitoring of the road to be monitored can be achieved through the processing of the edge computing subsystem, real-time information of the road can be fed back to the cloud subsystem in time, and when an emergency occurs on the road to be monitored, regulation and control can be carried out in time, namely, the smoothness and safety of the road to be monitored can be improved. In addition, the edge computing subsystem is arranged in a traffic area where the road to be monitored is located, and can obtain a computing result more quickly when computing, so that bandwidth occupation is saved, and computing complexity is reduced.
Specific relevant data of a certain road when the intelligent transportation system provided in the embodiment of the application is used can be determined based on actual data. The following is explained by taking Table three as an example:
watch III
Figure BDA0003995250050000161
Figure BDA0003995250050000171
Optionally, in the third table, the specific data condition of whether the same intersection is opened or not in the intelligent traffic system provided in the embodiment of the present application is shown in different time, the overall delay index is reduced by 26.4%, the average queuing length is reduced by 43.8%, the average parking times are reduced by 12.5%, the average delay index of the intersection is reduced by 26.7%, and the overflow condition of the west side outlet is effectively relieved. That is, the intelligent traffic system provided in the embodiment of the application can effectively improve the traffic efficiency of the intersection with the monitored road and relieve the congestion condition.
The foregoing is merely a specific embodiment of the present application, but the protection scope of the present application is not limited thereto, and any person skilled in the art can easily think about changes or substitutions within the technical scope of the present application, and the changes or substitutions are covered by the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
The foregoing description is only of the preferred embodiments of the present application and is not intended to limit the same, but rather, various modifications and variations may be made by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application should be included in the protection scope of the present application.

Claims (10)

1. An intelligent transportation system, comprising: the road junction terminal subsystem, the edge computing subsystem and the cloud subsystem are arranged in a traffic area where a road to be monitored is located;
the edge computing subsystem is respectively in communication connection with the intersection terminal subsystem and the cloud subsystem;
the intersection terminal subsystem is used for acquiring road traffic information of the road to be monitored and sending the road traffic information to the edge computing subsystem, and the road traffic information comprises: the wireless signal and the image information of the traffic area where the road to be monitored is located;
the edge computing subsystem is used for determining the current state of the road to be monitored according to the wireless signals and the image information, sending a control instruction to the intersection terminal subsystem according to the current state so as to control traffic of the road to be monitored, carrying out data conversion fusion processing on the wireless signals and the image information, and sending the video fusion data obtained after the processing and the current state to the cloud subsystem.
2. The intelligent transportation system of claim 1, wherein the junction termination subsystem comprises: an environment collection device and a traffic control device;
the environment acquisition equipment is in communication connection with the edge computing subsystem and is used for acquiring the road traffic information of the road to be monitored and sending the road traffic information of the road to be monitored to the edge computing subsystem;
the traffic control equipment is in communication connection with the edge computing subsystem and is used for generating traffic prompt signals based on control instructions sent by the edge computing subsystem.
3. The intelligent transportation system of claim 2, wherein the environment collection device comprises: traffic radar, visual perception device;
the traffic radar is used for determining road environment information in the road to be monitored, and the road environment information comprises at least one of the following: real-time positioning data of vehicles, multi-section traffic flow, lane queuing length, abnormal traffic event information and customized data;
the visual perception device is used for determining vehicle information in the road to be monitored, and the vehicle information comprises at least one of the following: target position of the vehicle, characteristic information of the vehicle.
4. The intelligent transportation system of claim 2, wherein the environment collection device further comprises: an intelligent cabinet;
the intelligent cabinet is used for determining environment state information of an environment where the road to be monitored is located, and the environment state information comprises at least one of the following: safety information, current climate information and power information of each device.
5. The intelligent transportation system of claim 2, wherein the traffic control device comprises: road traffic signal controller and road traffic signal lamp;
the road traffic signal controller is used for generating a first control signal according to the control instruction sent by the edge computing subsystem and sending the first control signal to the road traffic signal lamp;
the road traffic signal lamp is used for generating a traffic prompt signal according to the first control signal.
6. The intelligent transportation system of claim 5, wherein the traffic control device further comprises: a variable guide lane controller and a variable guide lane indicator;
the variable guiding lane controller is used for generating a second control signal according to the control instruction sent by the edge computing subsystem and sending the second control signal to the variable guiding lane indication mark;
the variable guide lane indication mark is used for generating a lane indication signal according to the second control signal.
7. The intelligent transportation system of claim 1, wherein the edge computation subsystem comprises: the system comprises a visual intelligent identification module, a radar video fitting module and a signal control optimization module;
the visual intelligent recognition module is used for receiving the image information of the road to be monitored, which is sent by the intersection terminal subsystem, determining the current state of the road to be monitored based on the image information, and sending the current state to the cloud subsystem, wherein the current state is used for indicating whether the road to be monitored is abnormal or not;
the radar video fitting module is used for receiving the wireless signals and the image information of the road to be monitored, which are sent by the intersection terminal subsystem, generating video fusion data based on the wireless signals and the image information, and sending the video fusion data to the cloud subsystem;
the signal control optimization module is used for generating a control instruction according to the current state determined by the visual intelligent recognition module, and sending the control instruction to the intersection terminal subsystem so as to control traffic of the road to be monitored.
8. The intelligent transportation system of claim 1, wherein the cloud subsystem comprises: a central base platform and business application services;
the center basic platform is used for receiving the current state of the road to be monitored and video fusion data sent by the edge computing subsystem;
the business application service is used for displaying the current state and the video fusion data.
9. The intelligent transportation system of claim 8, wherein the central base platform comprises: the system comprises a central hardware server, an object coupling platform, a data management platform, an algorithm management platform and a service support platform.
10. The intelligent transportation system of claim 8, wherein the business application service comprises: equipment asset management service, traffic parallel simulation service, operation index monitoring service, intelligent signal control service, event monitoring and early warning service and video intelligent linkage service.
CN202211601200.3A 2022-12-13 2022-12-13 Intelligent traffic system Pending CN116363861A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116824859A (en) * 2023-07-21 2023-09-29 佛山市新基建科技有限公司 Intelligent traffic big data analysis system based on Internet of things

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116824859A (en) * 2023-07-21 2023-09-29 佛山市新基建科技有限公司 Intelligent traffic big data analysis system based on Internet of things
CN116824859B (en) * 2023-07-21 2024-04-05 佛山市新基建科技有限公司 Intelligent traffic big data analysis system based on Internet of things

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