车道拥挤收费与信号控制组合优化模型研究

针对设有公交专用车道的城市道路,在交通过饱和状态下,为了提高道路通行能力,允许私家车以收费模式驶入公交专用车道,以缓解交通拥堵,建立了基于拥挤收费的交通信号控制模型.模型分别计算了公交专用车道和常规车道的行程时间及相关联交叉口的总体排队延误,另外对公交专用车道设置了临界密度.该模型在保证公交专用车道交通服务水平的前提下使所有车道的路段行程时间及路口排队时间最短,最后利用遗传算法和VISSIM仿真相结合对模型进行了求解.结果显示了车道拥挤收费和信号控制组合优化模型的有效性,降低了车辆排队延误.

The Combinatorial Optimization Model Research of Congestion Pricing and Signal Control

Based on the urban road with bus lane, in order to improve road capacity under the traffic supersaturation state, allowing private cars to enter the bus lane in charge mode to ease traffic jams. The model of traffic signal control is established based on congestion charging. The model calculates the travel time of the bus lanes and normal lanes as well as the associated overall queuing delay of intersection, and sets up a critical density of bus lanes. The model makes all lanes of travel time and intersection queue time shortest in guarantee under the premise of bus lanes of traffic service level. Finally, genetic algorithm and VISSIM simulation are used to solve the model. The results show the effectiveness of lane congestion pricing and signal control combinatorial optimization model, and it reduces vehicle queuing delays.