拥挤路线交通量控制的模糊推理算法

当道路发生突发性事件引起交通拥挤时，一方面需要引导驾驶员转向到可替换路线，另一方面也要对进入拥挤路线的交通量进行控制．本文通过对反映路线拥挤程度的延误时间信息和排队长度信息进行预测，设计了在事件持续时间内，以车辆到达率不超过事件发生地点通行能力为拥挤路线控制目标的模糊推理算法，并进行了实际案例分析．分析结果表明，这种模糊推理算法能在一定程度上取代交通工程师们对拥挤的管理，从而提高了拥挤管理的效率．

FUZZY REASONING ALGORITHM FOR CONTROL OF TRAFFIC IN CONGESTION ROUTE

It is required to guide drivers to divert to the alternative route when non-recurring congestion happens in the network, as well as to controll the traffic in the congested route. Delay time and queuing length, which are information of reflecting the congestion degree, are predicted by using the deterministic queuing method in this paper. The arrival rate of vehicles decides the magnitude of traffic controlled, so the control objective is designed as the arrival rate of vehicles less than the route capacity when incident happens. A fuzzy logic reasoning algorithm is designed to control the traffic in the congested route, and a simulation analysis is also given in this paper. The analysis results indicate that this fuzzy reasoning algorithm, to some extent, can replace traffic engineers' management work and improve the efficiency of congestion management.