基于排队最短的交叉口自适应控制优化模型研究

Study on intersection self-adaptive control optimization model based on the shortest queuing

通过道路交通波的特点,对信号交叉口车辆排队长度进行分析,研究了交叉口动态车流模型,并以整个交叉口排队长度最短为目标,建立了单个交叉口自适应控制优化模型,根据车流排队队长对各相位绿信比进行优化控制,通过改进粒子群算法对模型进行求解。最后以某个交叉口为例子对模型进行了验证。

Based on the characteristics of road traffic wave, this paper analyzed the queue length of the signalized intersections,and studied the dynamic traffic flow model of the intersection. Taking the shortest queue length at the intersection as the target,an self-adaptive optimal control model was established for the isolated intersection. According to the traffic queue length,the green-to-cycle-length ratio of each phase was optimized and controlled. The model was solved by the improved particle swarm algorithm. Finally, taking a certain intersection as an example, this model was verified.