Traffic intersection phase time control coordination method

Abstract

The invention provides a traffic intersection phase time control coordination method. The method includes the following steps that: when a vehicle drives to an information sending point of a certain lane, an OBU in the vehicle sends vehicle location information to an RSU, and the RSU receives the vehicle location information after t1; the RSU compares with the vehicle location information with a preset lane and performs judgment according to the received vehicle location information so as to confirm a lane where the vehicle is located, and extracts the phase information of the lane where the vehicle is located from a traffic signal controller; and the RSU pre-calculates t2 from a time point when the RSU sends a signal to a time point when the vehicle receives the signal, and calculates the phase information of the vehicle when the vehicle receives the signal according to the extracted phase information of the lane where the vehicle is located, and sends the phase information of the vehicle when the vehicle receives the signal to the vehicle. With the method of the invention adopted, the current phase information of signal lamps in a front intersection can be learned in advance, and the problem that the signal lamps are not easy to identify in environments where the signal lamps are blocked by heavy fog, rainstorms, vehicles and trees can be solved.

Description

Technical field [0001] The invention relates to wireless communication between a vehicle and a traffic signal light control, in particular to a method for phase time coordination of traffic intersection control. Background technique [0002] At present, domestic and foreign collaborative research on intelligent vehicles and roads is still in its infancy. There are no mature results in China, and most of them are only for the traffic environment with fewer vehicles or fewer lanes, and are not universal. The more versatile methods are mainly based on the Multiagent traffic central control system based on intersection resource reservation technology proposed by Kurt Dresner and Peter Stone, the central coordinated control system for intersections without traffic lights designed by Ghaffarian H. and the self-organization and coordination of vehicles and vehicles proposed by Wang Yunpeng Control model. [0003] But these methods inevitably have some problems: Kurt Dresner and Peter Sto...

AI Technical Summary

Problems solved by technology

[0003] However, these methods inevitably have some problems: in the Multiagent traffic central control system based on the intersection resource reservation technology proposed by Kurt Dresner and Peter Stone, the trajectory of the vehicle in the intersection has been determined before entering the intersection, which is different from the actual operation of the vehicle. There are unavoidable running errors between trajectories; although the central coordinated control system for intersections without traffic lights designed by GhaffarianH. The above method still uses the queue length as the basis for judging the priority of vehicles, which cannot fully reflect the advantages of vehicle-road coordination technology; Wang Yunpeng's self-organization and coordination control mode of vehicles realizes different priorities through vehicle-vehicle information interaction. Mutual cooperation and conflict resolution of class vehicles

However, this method lacks the overall consideration of the traffic conditions at the intersection during the coordination process

Images