Research On Control Strategy Of Urban Traffic Conflict Points

With the accelerated urbanization, rapidly increased urban traffic, the traffic problems have become more serious, so reasonable traffic organization and management are needed. Traffic conflict is one of the roots that causes of traffic delay and traffic accidents, and because there are lots of traffic conflict points, the intersections have become the bottleneck of traffic safety and traffic capacity. Therefore, the intersections control has important application background as well as research meanings.After referring to the major researches on the intersections control in home and overseas, the dissertation proposes an effective way for mixed-traffic phase optimization and signal timing at the single-point intersection based on adaptive co-evolutionary algorithm, analyses the various factors that affect the design of the timing arterial coordinated control system based on the single-point intersection control, and further, constructs and researches the Autoscope Solo Pro video detection system in view of the video detection technology has become the development direction of traffic information collection and processing.The major work and corresponding results achieved in this dissertation can be summarized as follows:(a) Study the phase optimization and signal timing of the urban single-point intersection. In order to solve the phase optimization and signal timing of the urban single-point cross intersection and T intersection under the mixed-traffic, the shortest average delay are taken as objective, and the intersection geometry shape, channelization status and prohibition of traffic flow conflicts are taken as restrictions. A new global search algorithm combining adaptive genetic algorithm with co-evolutionary algorithm is put forward to solve the optimization problem.(b) Develop the signal timing optimization software of single-point cross intersection and T intersection, design software interface and achieve optimization algorithm program, and further, analyze and indicate that the adaptive co-evolutionary algorithm is feasible and effective for mixed-traffic phase optimization and signal timing at cross intersection and T intersection by output data of the software.(c) Study the various factors that affect the design of the timing arterial coordinated control system. First, summarize the influencing factors. Then, on the one hand, theoretically analyze some factors, on the other hand, construct the simulation platform by Matlab, and analyze the main influencing factors, such as vehicle traffic, intersection space and band velocity.(d) Study the Autoscope Solo Pro video detection system, master the system function and system configuration, connect field hardware and PC, and debug successfully.