In order to improve the efficiency of urban arterials and reduce the average delay of vehicles traveling on arterials,an optimization method for coordinated traffic signal control on urban arterials was proposed based on the trajectory data of floating vehicles.The method used a maximum expectation algorithm to predict the arrival rate of mixed traffic(floating and other vehicles)based on the spatiotemporal trajectory data collected by floating vehicles.Combined with the signal states,the arterial coordinated timing optimization method was established by calculating the saturation degree of arterial roads in both directions,both upward and downward,with the lowest total delay as the optimization objective,and solved by using genetic algorithm.Taking the Huangshan Road of Hefei as an example,the uncoordinated control,traditional timing coordinated control and trajectory data-based signal coordinated control were compared.The results show that the provided scheme can effectively reduce the total vehicle delays and fuel consumption of vehicles at arterial intersections.
关键词
干线信号控制/车辆轨迹数据/车路协同/协调控制/最大期望算法
Key words
arterial signal control/vehicle trajectory data/vehicle-road cooperation/coordinated control/maximum expectation algorithm
维普
万方数据