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Modeling and optimizing bus transit priority along an arterial: A moving bottleneck approach
Transportation Research Part C: Emerging Technologies ( IF 8.3 ) Pub Date : 2020-11-18 , DOI: 10.1016/j.trc.2020.102873
Kan Wu , Muyang Lu , S. Ilgin Guler

Bus operations on arterials are often hindered by traffic signals and car queues. Transit signal priority (TSP) strategies can be used to improve bus operations on arterials. Analytically quantifying the impacts of TSP in mixed traffic, where cars and buses share lanes, is challenging since car queues can slow down buses, while slow-moving buses can create bottlenecks for cars. Furthermore, computational costs increase significantly when considering an arterial with multiple intersections. To tackle these challenges, this paper first develops a dynamic programming framework to model and evaluate TSP along an arterial. Next, the algorithm is utilized to determine the changes to car and bus delays as a result of TSP implementation along an arterial, and the sensitivity of the algorithm to the signal timing plan, bus stop locations and dwell durations, and the bus headway is evaluated. Next, a bi-level optimization framework is proposed to determine the optimal location of TSP implementation along arterials. Finally, the results of integrating TSP with dedicated bus lanes is evaluated. The results suggest that the benefits of TSP largely depend on the signal setting, and bus stop location, and that as the bus headway decreases, the marginal benefit of providing TSP also decreases. Additionally, the results suggest that the specific intersection at which TSP is implemented can play a large role on its operational impacts. Finally, it is found that in some scenarios, the benefits of implementing TSP alone can be larger than implementing dedicated bus lanes alone.



中文翻译:

沿动脉建模和优化公交运输优先级:移动瓶颈方法

交通信号灯和汽车排队通常会阻碍公交巴士的运营。公交信号优先(TSP)策略可用于改善公交车在动脉上的运行。在汽车和公共汽车共享车道的混合交通中,分析量化TSP的影响具有挑战性,因为汽车排队会减慢公共汽车的速度,而慢速行驶的公共汽车会造成汽车的瓶颈。此外,当考虑具有多个交叉点的动脉时,计算成本显着增加。为了应对这些挑战,本文首先开发了一个动态编程框架来对动脉中的TSP进行建模和评估。接下来,利用该算法来确定由于沿道路执行TSP而导致的汽车和公交车延迟的变化,以及该算法对信号时序计划的敏感性,公交车站的位置和停留时间,并评估公交车的行驶距离。接下来,提出了一个双层优化框架来确定TSP实施沿动脉的最佳位置。最后,评估了将TSP与专用公交专用道集成的结果。结果表明,TSP的优势在很大程度上取决于信号设置和公交车站的位置,并且随着公交车头距的减少,提供TSP的边际效益也随之降低。此外,结果表明,实施TSP的特定路口可以对其运行影响发挥重要作用。最后,发现在某些情况下,仅实施TSP的好处会比仅实施专用公交专用道的好处大。提出了一个双层优化框架来确定TSP实施沿动脉的最佳位置。最后,评估了将TSP与专用公交专用道集成的结果。结果表明,TSP的优势在很大程度上取决于信号设置和公交车站的位置,并且随着公交车头距的减少,提供TSP的边际效益也随之降低。此外,结果表明,实施TSP的特定路口可以对其运行影响发挥重要作用。最后,发现在某些情况下,仅实施TSP的好处会比仅实施专用公交专用道的好处大。提出了一个双层优化框架来确定TSP实施沿动脉的最佳位置。最后,评估了将TSP与专用公交专用道集成的结果。结果表明,TSP的优势在很大程度上取决于信号设置和公交车站的位置,并且随着公交车头距的减少,提供TSP的边际效益也随之降低。此外,结果表明,实施TSP的特定路口可以对其运行影响发挥重要作用。最后,发现在某些情况下,仅实施TSP的好处会比仅实施专用公交专用道的好处大。结果表明,TSP的优势在很大程度上取决于信号设置和公交车站的位置,并且随着公交车头距的减少,提供TSP的边际效益也随之降低。此外,结果表明,实施TSP的特定路口可以对其运行影响发挥重要作用。最后,发现在某些情况下,仅实施TSP的好处会比仅实施专用公交专用道的好处大。结果表明,TSP的优势在很大程度上取决于信号设置和公交车站的位置,并且随着公交车头距的减少,提供TSP的边际效益也随之降低。此外,结果表明,实施TSP的特定路口可以对其运行影响发挥重要作用。最后,发现在某些情况下,仅实施TSP的好处会比仅实施专用公交专用道的好处大。

更新日期:2020-11-18
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