两相位交叉口左转车辆抢行的元胞自动机模型

为了解决道路两相位交叉口所存在的左转车辆抢行问题,避免造成严重交通冲突,首先分析了左转车辆抢行行为、路径抢行、以及与直行车辆到达冲突点的时间差相关的概率抢行,在考虑过街行人对抢行行为干扰的情况下,构建了车辆、行人耦合的双路径左转-直行冲突元胞自动机模型,通过计算机仿真分析研究了左转车辆抢行行为对交叉口通行能力的影响。结果表明,无过街行人时,左转车辆抢行使交叉口通行能力下降约5%;有过街行人干扰时,交叉口的通行能力则进一步降低10%～25%。研究结果可为提高道路交叉口服务水平、提高道路通行率和安全性决策提供参考。

Cellular automaton model of left-turning vehicle preemption at two-phase intersection

To solve the problem of left-turning vehicle preemption at two-phase intersection, avoid serious traffic conflicts,this study analyzes two preemption strategies of left-turning vehicle: path preemption,and probability preemption which is related to the time difference of straight vehicle reaching the conflict point.Then the research further considers the interference of pedestrians and constructes the pedestrians-vehicle double-path cellular automaton model. The influence of left-turning vehicle preemption behavior on the intersection capacity is studied through computer simulation.The results show that preemption reduce the traffic capacity of intersection by 5% without pedestrians, and in the case of pedestrians interference, it is further reduced by 10% to 25%. The research results can provide reference for improving the service level, access rates and safety of intersections.