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Intersection centralized control method of intelligent traffic system based on vehicle-mounted adaptive network

An intelligent transportation system and self-adaptive network technology, which is applied in the traffic control system of road vehicles, traffic control system, and services based on specific environments, etc., can solve the problems of easy single point failure and high cost

Inactive Publication Date: 2021-01-05
DALIAN UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Furthermore, the reliance on a centralized controller makes this approach costly and prone to single points of failure

Method used

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  • Intersection centralized control method of intelligent traffic system based on vehicle-mounted adaptive network
  • Intersection centralized control method of intelligent traffic system based on vehicle-mounted adaptive network
  • Intersection centralized control method of intelligent traffic system based on vehicle-mounted adaptive network

Examples

Experimental program
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Embodiment 1

[0057]Table 1 Lane Locking Scheme

[0058]

[0059]Table 1 is the lane locking scheme obtained by the present invention after simulation optimization. To determine which lanes a vehicle locks in a certain lane, a simple solution is to lock the lane andfigure 1 All four conflicting lanes shown. However, with this design, vehicles in different lanes cannot pass through the intersection even in parallel lanes, which will reduce the efficiency of the entire system. After the simulation optimization of the present invention, it is decided to lock the two conflicting lanes. The complete locking mode is as Table 1 shows.

[0060]Any solution to the traffic control problem at intersections has a set of correctness attributes to measure in terms of safety, activity and fairness, among which:

[0061]Safety (mutual exclusion): There should be no conflicting vehicles in the core area at any time. In other words, if there is more than one vehicle in the core area, they must be parallel to each other.

[0062]...

Embodiment 2

[0069]Specific examples of the present invention will be described in detail below in conjunction with the technical solution and the drawings. Take a four-way intersection in a city as an example, such asFigure oneShown.

[0070]This embodiment takes the four-way intersection system model as an example, and uses vehicle priority to solve the scheduling and control problems of vehicles at the intersection.

[0071]The first step, the construction of the mathematical model:

[0072]The system model used in this implementation example is the most common four-way intersection model in the urban environment, which is convenient for simulating the general situation in the city. In each direction, only the lane that enters the intersection direction is taken, and the direction from the zero point is followed in time. Number the lanes from L0To L7. The small dotted square is called the core area, and the large dotted square is called the queuing area. The state of any vehicle in the core area is pa...

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PUM

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Abstract

The invention belongs to the field of self-organizing networks of automatic driving vehicles, and particularly relates to an intersection centralized control method of an intelligent traffic system based on a vehicle-mounted adaptive network. According to the invention, measures can be taken in time when the vehicle is delayed, and unlimited waiting of a controller is avoided. Lane changing behaviors are allowed in consideration of vehicles which change lanes after entering an intersection area. In consideration of emergency vehicles, the vehicles are ensured to pass through the intersection preferentially. and vehicle priorities are set, and a vehicle passing sequence is controlled according to the lane weights. According to the method, the vehicles can be allowed to pass through the intersection without any conflict, priority scheduling of the vehicles with high priorities and optimal scheduling according to different strategies such as the total waiting time of the vehicles are achieved, meanwhile, it is guaranteed that the emergency vehicles pass through the intersection preferentially, and more importantly, other vehicles can be allowed to continue to advance while congestionand accidents happen. The method provides a solution and favorable support for intersection traffic control and scheduling in an intelligent traffic system environment.

Description

Technical field[0001]The invention belongs to the field of self-organizing networks of self-driving vehicles, and in particular relates to a centralized control method for intelligent traffic system intersections based on a vehicle-mounted adaptive network.Background technique[0002]Intersection traffic control is one of the main components of Intelligent Transportation System (ITS). It needs to deal with increasingly serious traffic jams, accompanied by unpredictable accidents and emergencies. With the rapid development of the Internet of Vehicles (IoV) using the intelligent in-vehicle self-organizing network (inVANET), many countries have begun to integrate the IoV concept into ITS, using wireless sensor networks, cloud computing and other technologies to dispatch and control vehicles to solve traffic problems . Various solutions have been proposed to automatically control traffic at intersections. Traditional methods focus more on optimizing the dispatch of traffic lights to maxim...

Claims

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Application Information

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IPC IPC(8): G08G1/087H04W4/44H04W4/46H04W84/18
CPCG08G1/087H04W84/18H04W4/44H04W4/46
Inventor 史彦军齐宇晗吕玲玲韩俏梅
Owner DALIAN UNIV OF TECH
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