兼顾社会车辆多路径协调的干线公交优先信号协调方法

An Arterial Bus Signal Priority Strategy Considering Multi-path Coordination of Social Vehicles

干线公交优先信号协调可以提升公交系统的运行效率和可靠性,从而提高公交服务水平、增强公交系统吸引力。但现阶段的方法存在影响社会车辆通行效率的问题,或2种模式同时进行协调时,社会车辆协调空间受到限制的问题,无法保障多模式出行者的公平性。针对这些问题,提出了一种兼顾社会车辆多路径协调的干线公交优先信号协调方法。根据公交车辆和社会车辆各自的运行特征,分别以整条公交线路和每个路段上的出行路径作为2类出行模式的分析对象进行建模,基于混合整数线性规划构建2类出行模式的约束条件以及优化目标。为了验证算法的性能,以杭州市萧山区金城路包含8个交叉口的路段作为仿真路段,基于Vissim交通仿真软件构建仿真场景,并从公交车辆通行效率、社会车辆通行效率以及整体人均通行效率等3个层面进行评价。研究结果表明,相较于Multiband算法(算法1)以及只考虑直行方向社会车流协调的干线公交信号优先算法(算法2),所提方法在高峰场景下能显著提升干线的通行效率:在公交车辆通行效率层面,平均延误相较于算法1和算法2最大下降幅度分别达到了81.27%、35.35%;在社会车辆通行效率层面,与算法1和算法2相比,平均延误最大下降幅度分别达到了5.16%、11.84%;在整体人均通行效率层面,平均延误最大下降幅度分别达到了10.44%、12.07%。

Arterial bus signal priority methods help improve the efficiency and reliability of bus services,thus enhancing the attractiveness of the bus system.However,in current methods,the traffic efficiency of social vehicles is affected,or the coordination space of social vehicles is restricted when the two modes are coordinated at the same time,which cannot guarantee the fairness of multi-mode travelers.In response to these problems,an arterial bus signal priority strategy considering the multi-path coordination of social vehicles was proposed in this study.According to the operating characteristics of buses and social vehicles,the single bus line and the travel path on each section were taken as the modeling units of the two travel modes respectively.Constraints and optimization objectives of the two travel modes were determined based on mixed integer linear programming.To verify the algorithm performance,eight intersections of Jincheng Road in Xiaoshan District of Hangzhou were treated as simulation sections.The simulation scene was constructed based on Vissim traffic simulation software.Three aspects were considered for the evaluation:the efficiency of buses,the efficiency of social vehicles,and person-based efficiency.The research results show that compared with the multiband method(algorithm 1)and an arterial-based bus signal priority method that only considers the coordination of straight-moving social vehicles(algorithm 2),the developed method can significantly improve the traffic efficiency of the arterial in the rush hour scenario:Regarding bus efficiency,the average delay reduced by 81.27%and 35.35%compared with algorithms 1 and 2,respectively.Considering the social vehicle efficiency,compared with algorithms 1 and 2,the maximum reduction in average delay reached 5.16%and 11.84%,respectively.Further,in terms of person-based efficiency,the maximum reduction in average delay was 10.44%and 12.07%,respectively.