城市客货混行干道交通优化控制方法

以客货混行城市干道为研究对象,研究了车辆组成对交叉口及路段交通运行的影响,确定了车流率等因素对车队通过交叉口所需时间的影响.针对客货混行的特点建立客货混行交通信号模糊控制模型,根据车队领头车辆类型、车队组成、主次要通行方向的特性以及各相位车辆排队长度,采用模糊控制算法来确定各相位的绿灯延长时间,并确定了调整相位差.最后用VISSIM软件,对所提出的优化控制方法与常规控制方法进行了对比仿真验证,结果表明,优化方法比常规方法平均减少车辆延误3.6 s,证明了方案的可行性和有效性.

Optimizing signal controls for urban mixed use transport arterial

The authors analyzed the influence of traffic composition on the behavior of traffic clearing intersections and queuing at lights on urban mixed use transport arteries. The influence of vehicle flow rates and other factors influencing the time required for vehicles to clear an intersection were determined. A fuzzy control model for signals controlling mixed traffic was established according to traffic characteristics. The time for green lights was prolonged for every cycle and changes to the regular phases were calculated by a fuzzy control algorithm according to the type of the lead vehicle, mix of vehicles present, characteristics of the main and secondary traffic routes and queue lengths. A simulation was run using the software VISSIM. A comparison with conventional methods showed that the optimized method reduced vehicle delays by an average of 3.6s, proving the feasibility and validity of this scheme.