CN115983732A - Airport land side traffic sand table scheduling system based on vehicle-road cooperation - Google Patents
Airport land side traffic sand table scheduling system based on vehicle-road cooperation Download PDFInfo
- Publication number
- CN115983732A CN115983732A CN202211662687.6A CN202211662687A CN115983732A CN 115983732 A CN115983732 A CN 115983732A CN 202211662687 A CN202211662687 A CN 202211662687A CN 115983732 A CN115983732 A CN 115983732A
- Authority
- CN
- China
- Prior art keywords
- airport
- vehicle
- traffic
- road
- sand table
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Landscapes
- Traffic Control Systems (AREA)
Abstract
The application discloses airport land side traffic sand table dispatch system based on vehicle and road is in coordination, its characterized in that includes: the system comprises a sand table road network module, an intelligent vehicle module and a central control scheduling control module; the sand table road network module is used for simulating the real traffic design of the road network around the land side of the airport; the intelligent vehicle module is used for simulating the real traffic flow condition around the land side of the simulated airport; and the central control scheduling module is used for integrally scheduling the sand table road network and the intelligent vehicle system. The method can efficiently construct the airport land side traffic environment in a laboratory environment; meanwhile, the stability of the system can be verified for many times. In addition, the method has strong interestingness, and brings convenience for scientific researchers and students to input; and compared with the real road network environment, the cost is greatly reduced.
Description
Technical Field
The application relates to the field of airport land side traffic simulation, in particular to an airport land side traffic sand table scheduling system based on vehicle-road cooperation.
Background
The air port traffic of medium and large-sized cities is an important component of a city traffic hub, and most of current researches are limited to the simulation and test of traffic flow by traffic flow simulation software aiming at the research of the scheduling of traffic near the land side of an airport. However, in the actual traffic system near the airport land side, the situations of passenger access, mixed traveling of different types of vehicles, and other complex traffic flows exist, and if the algorithm of traffic scheduling around the road network is not fully verified and tested, the multiple problems of passenger flight delay and the like are easily caused by traffic jam and paralysis around the airport land side due to local traffic regulation errors.
Disclosure of Invention
According to the method, through the traffic design of the road network around the land side of the large-scale airport in simulation, the environment data of the three-dimensional traffic at the land side of the airport are formed according to the number of passengers getting on and off the port and the flow of the surrounding traffic network, the number of available parking places in a parking lot and the running state of an intelligent vehicle, big data analysis is carried out through the traffic flow data in multiple periods, and multiple strategies are selected in a self-adaptive manner according to the analyzed result data, so that the optimization of the three-dimensional traffic system at the land side of the airport is completed.
In order to achieve the above object, the present application provides an airport land side traffic sand table dispatching system based on vehicle-road cooperation, comprising: the system comprises a sand table road network module, an intelligent vehicle module and a central control scheduling control module;
the sand table road network module is used for simulating real traffic design of a road network around the land side of the airport;
the intelligent vehicle module is used for simulating the real traffic flow condition around the land side of the simulated airport;
and the central control scheduling module is used for integrally scheduling the sand table road network and the intelligent vehicle system.
Preferably, the sand table road network module comprises: the system comprises an urban high-speed arrival road unit, an airport peripheral urban traffic unit, an airport land side vehicle storage parking lot unit, an airport land side parking lot unit and an airport land side lane side unit;
the urban high-speed arrival road unit is used for simulating the real road condition during the period from the urban high speed arrival at the airport;
the urban traffic units around the airport are used for simulating the real situation of urban traffic around the airport;
the airport land side vehicle storage parking lot unit is used for simulating the real situation of the airport land side vehicle storage parking lot;
the airport land side parking lot unit is used for simulating the real situation of the airport land side parking lot;
the airport land side lane edge unit is used for simulating the real situation of the airport land side lane edge.
Preferably, the urban high-speed arrival road unit comprises: ETC charging device, thunder look integrative monitoring device and land side communication device.
Preferably, the urban traffic unit around the airport comprises: a plurality of traffic intersections; and the traffic intersection is provided with a networking signal machine and a networking intersection sensing device.
Preferably, the airport land side vehicle storage parking lot unit comprises a passenger arrival layer which is imported into an airport through a special road.
Preferably, the airport land-side parking lot unit includes: private car area, network taxi appointment area and taxi area.
Preferably, the smart car system includes: private cars, taxis and airport buses; the work flow of the intelligent vehicle system comprises the following steps: and the central control dispatching control module automatically navigates and runs according to the planned path, is linked with intersection signal lamps on the land side of an airport, and is in real-time bidirectional communication with the central control dispatching control module.
Preferably, the central control scheduling control module includes: the intelligent vehicle control unit, the signal control unit, the vehicle road cooperative control unit and the port entering and exiting personnel information unit; the work flow of the central control dispatching control module comprises the following steps: according to the number of passengers getting in and out of the station, the intelligent vehicle is dispatched, and then the road network signals of surrounding cities are optimized.
Compared with the prior art, the beneficial effects of this application are as follows:
the method can efficiently construct the airport land side traffic environment in a laboratory environment; meanwhile, the stability of the system can be verified for many times. In addition, the method has strong interestingness and is convenient for scientific researchers and students to input; and compared with the real road network environment, the cost is greatly reduced.
Drawings
In order to more clearly illustrate the technical solutions of the present application, the drawings required to be used in the embodiments are briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without inventive labor.
FIG. 1 is a schematic diagram of the system architecture of the present application;
FIG. 2 is a schematic structural diagram of a sand table road network module according to the present application;
FIG. 3 is a schematic diagram of a smart vehicle module structure of the present application;
FIG. 4 is a schematic diagram of a central control scheduling control module according to the present application;
fig. 5 is a diagram of a simulation of airport land side of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be described clearly and completely with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only some embodiments of the present application, and not all embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without making any creative effort belong to the protection scope of the present application.
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, the present application is described in further detail with reference to the accompanying drawings and the detailed description.
As shown in fig. 1, the airport land-side traffic sand table scheduling system based on vehicle-road cooperation according to the embodiment includes: a sand table road network, an intelligent vehicle system and a central control dispatching control system of the airport land-side three-dimensional traffic system. The sand table road network module (shown in fig. 2) comprises a city high-speed arrival road unit, a city traffic unit around an airport, an airport land side vehicle storage parking lot unit, an airport land side parking lot unit and an airport land side lane edge unit. In this embodiment, the urban high-speed arriving road unit at a port at least includes an ETC charging system, a radar-vision integrated monitoring system, a land-side communication system, and the like. The urban traffic unit around the airport comprises a plurality of traffic intersections, and the intersections at least comprise a network connection signal machine system and a network connection intersection sensing system, such as: coil detectors, lidar detectors, and the like. The airport land side vehicle storage parking lot unit is positioned on one side of the airport land side, and a special road can be provided for gathering passengers in an airport to arrive at a layer. The airport land side parking lot is positioned near the lane side of the airport land side and is divided into a private car area, a network taxi appointment area and a taxi area; the airport land side lane side system is located in the airport arrival area and departure area.
As shown in fig. 3, the intelligent car module includes a private car, a taxi, and an airport bus, which can autonomously navigate according to a route planned by the central control dispatching control module, and simultaneously realize linkage with a crossing signal lamp on the land side of the airport, and realize bidirectional communication with the central control dispatching control module in real time. The central control dispatching control system is internally provided with an intelligent vehicle control unit, a signal control unit, a vehicle road cooperative control unit and a port entering and exiting personnel information unit.
In the embodiment, the central dispatching control module (fig. 4) can adaptively finish the dispatching of the intelligent vehicle according to the number of passengers entering and exiting the station. In the embodiment, the dispatching process is that the central dispatching control module confirms the number of the vehicles and plans the route according to the number of the passengers and the destinations of the passengers. For example, if 38 people go to destination a, each bus can hold 30 people, and each taxi can hold 4 people, then the dispatch control module will dispatch 1 bus and 2 taxis to destination a. Therefore, the optimization of the road network signals of surrounding cities is realized. Take the airport land side simulation diagram of fig. 5 as an example; the intelligent vehicle control unit can complete the scheduling interval of the intelligent vehicle according to the data information of the port-entering and port-exiting passenger information simulation system. The signal management and control unit is matched with the port entering and exiting personnel information unit to carry out optimization of the signal system in real time according to data of the port entering and exiting passenger information simulation system, when the number of passengers entering the port is increased, the time of a green light signal in the port entering direction is prolonged, and the time of a red light signal in the port exiting direction is reduced. The vehicle-road cooperative control unit can adaptively perform intelligent vehicle and annunciator system linkage, and complete the functions of guiding the vehicle speed by traffic lights, green waves at multiple intersections and the like, thereby realizing the scheduling efficiency of intelligent vehicles. The path planning and decision subsystem can realize the path planning decision of the intelligent vehicle according to the urban traffic around the airport, thereby improving the efficiency of vehicle dispatching operation.
Meanwhile, the high-speed traffic flow of the city arriving at the port and the number of the remaining parking lots in the airport can be used as the input conditions of a traffic signal system around the airport, the traffic flow of the side lanes is used as the system output, and the traffic system is optimized through the relationship of the traffic flow, the traffic flow and the lane side traffic flow, so that the safety and the efficiency are improved.
The above-described embodiments are merely illustrative of the preferred embodiments of the present application, and do not limit the scope of the present application, and various modifications and improvements made to the technical solutions of the present application by those skilled in the art without departing from the spirit of the present application should fall within the protection scope defined by the claims of the present application.
Claims (8)
1. An airport land side traffic sand table scheduling system based on vehicle-road coordination is characterized by comprising: the system comprises a sand table road network module, an intelligent vehicle module and a central control dispatching control module;
the sand table road network module is used for simulating real traffic design of a road network around the land side of the airport;
the intelligent vehicle module is used for simulating the real traffic flow condition around the land side of the simulated airport;
and the central control scheduling module is used for integrally scheduling the sand table road network and the intelligent vehicle system.
2. The airport land-side traffic sand table dispatching system based on vehicle-road coordination according to claim 1, characterized in that said sand table road network module comprises: the system comprises an urban high-speed arrival road unit, an airport peripheral urban traffic unit, an airport land side vehicle storage parking lot unit, an airport land side parking lot unit and an airport land side lane side unit;
the urban high-speed arrival road unit is used for simulating the real road condition during the period from the urban high speed arrival at the airport;
the urban traffic units around the airport are used for simulating the real situation of urban traffic around the airport;
the airport land side vehicle storage parking lot unit is used for simulating the real situation of the airport land side vehicle storage parking lot;
the airport land side parking lot unit is used for simulating the real situation of the airport land side parking lot;
the airport land side lane edge unit is used for simulating the real situation of the airport land side lane edge.
3. The airport land side traffic sand table scheduling system based on vehicle and road coordination according to claim 2, wherein said city high speed arrival road unit comprises: ETC charging device, thunder look integrative monitoring device and land side communication device.
4. The airport land-side traffic sand table dispatching system based on vehicle-road coordination according to claim 2, wherein said airport surrounding urban traffic unit comprises: a plurality of traffic intersections; and the traffic intersection is provided with a networking signal machine and a networking intersection sensing device.
5. The airport land-side traffic sand table scheduling system based on vehicle-road coordination according to claim 2, wherein said airport land-side vehicle-storing parking lot unit comprises a passenger arrival floor for a dedicated road to the airport.
6. The airport land-side traffic sand table dispatching system based on vehicle-road coordination according to claim 2, wherein said airport land-side parking lot unit comprises: private car area, network car appointment area and taxi area.
7. The airport land-side traffic sand table dispatching system based on vehicle-road coordination according to claim 1, characterized in that said intelligent vehicle system comprises: private cars, taxis, and airport buses; the work flow of the intelligent vehicle system comprises the following steps: and the system autonomously navigates to run according to the path planned by the central control dispatching control module, is linked with intersection signal lamps on the land side of an airport, and is in real-time bidirectional communication with the central control dispatching control module.
8. The airport land-side traffic sand table scheduling system based on vehicle-road coordination according to claim 1, wherein said central scheduling control module comprises: the system comprises an intelligent vehicle control unit, a signal control unit, a vehicle road cooperative control unit and an entrance and exit personnel information unit; the work flow of the central control scheduling control module comprises the following steps: according to the number of passengers getting in and out of the station, the intelligent vehicle is dispatched, and then the road network signals of surrounding cities are optimized.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211662687.6A CN115983732A (en) | 2022-12-23 | 2022-12-23 | Airport land side traffic sand table scheduling system based on vehicle-road cooperation |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211662687.6A CN115983732A (en) | 2022-12-23 | 2022-12-23 | Airport land side traffic sand table scheduling system based on vehicle-road cooperation |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115983732A true CN115983732A (en) | 2023-04-18 |
Family
ID=85967501
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211662687.6A Pending CN115983732A (en) | 2022-12-23 | 2022-12-23 | Airport land side traffic sand table scheduling system based on vehicle-road cooperation |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115983732A (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107507488A (en) * | 2017-09-30 | 2017-12-22 | 中铁第四勘察设计院集团有限公司 | A kind of track traffic virtual electronic sand table simulation training system and method |
| CN109360429A (en) * | 2018-12-13 | 2019-02-19 | 武汉摩尔数据技术有限公司 | A kind of urban highway traffic dispatching method and system based on simulative optimization |
| CN109448499A (en) * | 2019-01-07 | 2019-03-08 | 北京智能佳科技有限公司 | Miniature multilevel traffic Simulation Experimental Platform |
| CN111739287A (en) * | 2020-05-20 | 2020-10-02 | 苏交科集团股份有限公司 | Intelligent scheduling system for intelligent station with cooperative vehicle and road |
| CN112053433A (en) * | 2020-09-30 | 2020-12-08 | 中国汽车技术研究中心有限公司 | Construction method of civil aviation airport dynamic scene and airport special vehicle training method |
-
2022
- 2022-12-23 CN CN202211662687.6A patent/CN115983732A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107507488A (en) * | 2017-09-30 | 2017-12-22 | 中铁第四勘察设计院集团有限公司 | A kind of track traffic virtual electronic sand table simulation training system and method |
| CN109360429A (en) * | 2018-12-13 | 2019-02-19 | 武汉摩尔数据技术有限公司 | A kind of urban highway traffic dispatching method and system based on simulative optimization |
| CN109448499A (en) * | 2019-01-07 | 2019-03-08 | 北京智能佳科技有限公司 | Miniature multilevel traffic Simulation Experimental Platform |
| CN111739287A (en) * | 2020-05-20 | 2020-10-02 | 苏交科集团股份有限公司 | Intelligent scheduling system for intelligent station with cooperative vehicle and road |
| CN112053433A (en) * | 2020-09-30 | 2020-12-08 | 中国汽车技术研究中心有限公司 | Construction method of civil aviation airport dynamic scene and airport special vehicle training method |
Non-Patent Citations (1)
| Title |
|---|
| 安鑫等: "车路协同自动驾驶技术在民航机场的应用前景展望", 《交通工程》, pages 57 - 67 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108364494B (en) | Intelligent road traffic management method, system and platform | |
| CN109285373A (en) | A kind of intelligent network connection traffic system towards whole road network | |
| CN104200649B (en) | Based on the rush-hour path resource dispatching distribution System and method for of pre-first to file | |
| CN111882905B (en) | Method and system for realizing road traffic appointment passing and electronic equipment | |
| CN201307343Y (en) | Navigation device of vehicle dynamic route | |
| CN113345253B (en) | Traffic flow array and signal cooperative control system | |
| Soltani et al. | An eco-friendly aircraft taxiing approach with collision and conflict avoidance | |
| Shut et al. | Mobile Autonomous robots–a new type of city public transport | |
| CN102800212A (en) | Intelligent parking system in environment of internet of things | |
| Zhang et al. | CAVSim: A microscope traffic simulator for connected and automated vehicles environment | |
| CN108847019B (en) | Method for calculating travel time of variable-route public transport vehicle to fixed station | |
| CN201616185U (en) | Control system for no-parking traffic signal lamp for main road | |
| Su et al. | Airport surface modelling and simulation based on timed coloured petri net | |
| CN115983732A (en) | Airport land side traffic sand table scheduling system based on vehicle-road cooperation | |
| WO2023274284A1 (en) | Vehicle control method, device and system | |
| CN116013101A (en) | System and method for suggesting speed of signal-free intersection based on network environment | |
| CN113409567B (en) | Traffic assessment method and system for mixed traffic lane of public transport and automatic driving vehicle | |
| CN115331461A (en) | Mixed traffic passing control method and device for signalless intersection and vehicle | |
| Chen et al. | Research on PRT station design using unmanned vehicles based on Petri net | |
| Oskarbski et al. | Multi-level transport systems model for traffic management activities | |
| CN112418465B (en) | Rail-mounted school bus system | |
| CN112991795B (en) | Underground intelligent highway system suitable for unmanned vehicle and scheduling method | |
| Pe et al. | Cyber-Physical Modeling of Intelligent Traffic Controllers Using Simulator for Urban Mobility (SUMO) | |
| CN116704763B (en) | Intelligent bus team dynamic formation method considering bus operation scheme | |
| CN109143895A (en) | A kind of operation analogue system of road surface rail transit train |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |