Intelligent signal coordination control optimization method for urban road

Abstract

The invention relates to an intelligent signal coordination control optimization method for an urban road, and the method intelligently carries out the control subarea division of the urban road network according to the real-time traffic conditions through employing multi-source data in the road network from the perspectives of traffic supply and demands, provides a reasonable coordination optimization scheme, achieves the effect of rapid passing of vehicles in a daily mode, solves the traffic jam problem of an existing urban road, and shortens the travel time of travelers. According to the method, bottleneck intersections with relatively prominent supply and demand contradiction can be found out from the supply and demand perspective to serve as key intersections, the key intersections serve as centers, the adjacent intersections which are close in period, proper in interval and relevant in flow are distributed into the same subarea, vehicle queuing and delay of all the intersectionsin the subarea in the public period are reduced, and the coordination control effect is improved.

Description

technical field [0001] The invention relates to an intelligent signal coordination control optimization method for urban roads, belonging to the field of urban traffic signal control. Background technique [0002] With the development of society and economy, the number of motor vehicles has increased rapidly, and the situation of traffic congestion and traffic disorder in large and medium-sized cities has become increasingly serious. The cost of new roads is high and the amount of demolition is large. It is not feasible to completely rely on the construction of new roads. In the reality of urban traffic, it has become a very important and feasible technical means to alleviate traffic congestion by intelligently dividing traffic control sub-areas in real time according to road traffic conditions and performing coordinated control. [0003] The current traffic signal control system mainly adopts the control strategy of static sub-area, which requires the designer to determine ...

AI Technical Summary

Problems solved by technology

[0003] The current traffic signal control system mainly adopts the control strategy of static sub-area, which requires the designer to determine the coordination sub-area in advance according to the historical traffic flow of the control area, road network traffic characteristics, geographical location relationship and coordination control requirements between intersections, etc., and Once the sub-area plan is determined, it will be completely fixed, and it is impossible to dynamically divide the sub-area in real time according to the real-time traffic flow conditions of the road network and the actual demand cycle of the intersection

Each intersection in a sub-area usually uses the same set of periodic schemes. If the division of sub-areas is unreasonable, it will lead to delays at some intersections and a significant increase in queue length

[0004] In addition, most of the current intersection signal control methods in cities are multi-period timing control. The signal control scheme is generally set manually based on traffic characteristics or expert experience. The degree of intelligence is relatively low and the control scheme cannot be changed according to the current real-time traffic conditions.

At the same time, the traditional arterial coordination method still has problems such as the inability to perform steering coordination, the coordination control in the oversaturated state, the queuing dissipation time and the speed characteristics of each road section, etc. The signal coordination scheme will greatly increase the risk of congestion and paralysis at each intersection

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