基于TCPN的交叉口信号控制模型与优化

针对城市路网中交叉口车辆通行效率低下,交通信号控制策略难于满足输入路段上车流变化的问题,本文提出了一种基于时延赋色Petri网的交叉口交通流优化控制模型。首先建立路段车流、交叉口车流和交通信号控制的TCPN模型,其次建立以交叉口输入路段车辆数最小为目标的车流优化方程。在假设信号周期固定的前提下,利用15个周期采集的交叉口输入、输出路段车辆数,求解满足优化目标的相位配时,确保交叉口输出车辆数最大,且输入路段上待通过车辆平均数最小。仿真结果表明,交叉口的通行能力显著提高,各输出路段上的车辆平均数分别增加了13.3%,9.7%,9.8%和4.3%。

Traffic Signal Control Model and Optimization based on Timed Colored Petri Nets

Aiming at the problems of low intersection traffic efficiency in urban road network and traffic signal control strategy difficult to meet changes in the input section of the traffic, a method of intersection traffic signal control and optimization based on timed colored Petri nets is presented in this paper. Firstly, the TCPN model of road, intersection and signal control system is built. Secondly, on the premise of the invariant signal cycle, using the input number of road vehicles acquiring by the TCPN model, adjust the length of each phrase in the proposed signal timing formula, to ensure the maximum output of intersection vehicle while the minimum average number of stay by vehicle in input road. The simulation results show that traffic capacity of intersection increased significantly, the average output stretch of road vehicle respectively increased by 13.3%, 9.7%, 9.8% and 4.3%.