Urban multi-intersection multi-layer distribution control system and method in vehicle-road cooperation environment

Abstract

The invention relates to an urban multi-intersection multi-layer distribution control system and method in a vehicle-road coordination environment, and the system comprises signal control units, road test units and multi-source traffic state sensing equipment which are arranged at all intersections, and each intersection is provided with a corresponding road network topological structure. The road network topological structure comprises all intersections directly adjacent to the intersection, and the road network topological structures of the intersections are in distributed communication; wherein the road test unit carries out fusion processing on the state information of the intersection and the adjacent intersection acquired by the multi-source traffic state sensing equipment in real time, and combines the signal timing information of the adjacent intersection to obtain an optimized signal timing scheme of the intersection; and the signal control unit controls the signal machine of the intersection to execute the optimized signal timing scheme obtained from the road test unit of the intersection. Compared with the prior art, the method can improve the solving efficiency and accuracy of a multi-intersection signal control problem, and achieves the optimal cooperative control of multiple intersections in a city.

Description

technical field [0001] The invention relates to the technical field of road intersection signal control, in particular to an urban multi-intersection multi-layer distribution control system and a method thereof in a vehicle-road collaborative environment. Background technique [0002] The organic coordination of multi-intersection signal control schemes on urban roads is one of the effective methods to alleviate traffic congestion and improve traffic efficiency. Most of the current multi-intersection signal control methods are based on centralized methods, that is, using heuristic algorithms to obtain optimal control schemes. This control method has low solution efficiency and is difficult to apply in practice. [0003] In addition, most of the existing urban multi-intersection signal control platform architectures are centralized optimization frameworks, which consider multiple intersections as a unified operation, and integrate all intersection signal timing parameters int...

AI Technical Summary

Problems solved by technology

However, as the number of urban intersections increases, the number of variables and constraints grows very fast, and the scale of the optimization problem becomes larger and larger, which will seriously affect the efficiency and accuracy of solving centralized signal coordination problems, making it difficult to be efficient and reliable , Obtain the multi-intersection signal timing scheme stably, which is not conducive to alleviating the problem of urban traffic congestion

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