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根据路段行程车速的随机分布特征,分析了已有线控系统相位差优化方法的局限性。以路段行程时间、车辆延误和排队长度为评价指标,利用信息熵理论和多属性综合决策方法设计了线控系统相位差优化算法,并进行了仿真计算。仿真结果表明:当路段行程车速的方差从5 km.h-1增大到10 km.h-1后,由西向东车流的行程时间、车辆延误和排队长度分别从98.4 s、13.5 s.pcu-1和9.1 pcu增大到115.5 s、15.9 s.pcu-1和12.3 pcu,由东向西车流的行程时间、车辆延误和排队长度分别从99.4 s、13.5 s.pcu-1和9.2 pcu增大到108.7 s、14.3 s.pcu-1和10.8 pcu。可见,路段行程车速的随机分布特性对相位差的设置有显著影响,利用本文建立的模型可得到最优相位差。
According to the random distribution of the travel speed of the road sections, the limitation of the phase difference optimization method of the existing wire-controlled system is analyzed. Taking the route travel time, the vehicle delay and the queue length as the evaluation indexes, the phase difference optimization algorithm of the line control system is designed based on information entropy theory and multi-attribute comprehensive decision-making method, and the simulation calculation is carried out. The simulation results show that the travel time, vehicle delay and queue length from west to east are from 98.4 s and 13.5 s.pcu, respectively, when the variance of travel speed of road section increases from 5 km.h -1 to 10 km.h -1. -1 and 9.1 pcu increased to 115.5 s, 15.9 s.pcu-1 and 12.3 pcu respectively. The travel time from west to east, vehicle delay and queuing length increased from 99.4 s, 13.5 s.pcu-1 and 9.2 pcu respectively Large to 108.7 s, 14.3 s.pcu-1 and 10.8 pcu. It can be seen that the random distribution of road speed has a significant influence on the setting of phase difference. By using the model established in this paper, the optimal phase difference can be obtained.