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Analyses of Bus Travel Time Reliability and Transit Signal Priority at the Stop-To-Stop Segment Level.

机译:在停车到停车段级别上的公交车行驶时间可靠性和公交信号优先级分析。

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摘要

Transit travel time is affected by many factors including traffic signals and traffic condition. Transit agencies have implemented strategies such as transit signal priority (TSP) to reduce transit travel time and improve service reliability. However, due to the lack of empirical data, the joint impact of these factors and improvement strategies on bus travel time has not been studied at the stop-to-stop segment level.;This study utilizes and integrates three databases available along an urban arterial corridor in Portland, Oregon. Data sources include stop-level bus automatic vehicle location (AVL) and automatic passenger count (APC) data provided by the Tri-County Metropolitan Transportation District of Oregon (TriMet), the Sydney Coordinated Adaptive Traffic System (SCATS) signal phase log data, and intersection vehicle count data provided by the City of Portland. Based on the unique collection and integration of these fine granularity empirical data, this research utilizes multiple linear regression models to understand and quantify the joint impact of intersection signal delay, traffic conditions and bus stop location on bus travel time and its variability at stop-to-stop segments. Results indicate that intersection signal delay is the key factor that affects bus travel time variability. The amount of signal delay is nearly linearly associated with intersection red phase duration. Results show that the effect of traffic conditions (volumes) on bus travel time varies significantly by intersection and time of day.;This study also proposed new and useful performance measures for evaluating the effectiveness of TSP systems. Relationships between TSP requests (when buses are late) and TSP phases were studied by comparing TSP phase start and end times with bus arrival times at intersections. Results show that green extension phases were rarely used by buses that requested TSP and that most green extension phases were granted too late. Early green effectiveness (percent of effective early green phases) is much higher than green extension effectiveness. The estimated average bus and passenger time savings from an early green phase are also greater compared to the average time savings from a green extension phase. On average, the estimated delay for vehicles on the side street due to a TSP phase is less than the time saved for buses and automobiles on the major street.;Results from this study can be used to inform cities and transit agencies on how to improve transit operations. Developing appropriate strategies, such as adjusting bus stop consolidation near intersections and optimizing bus operating schedules according to intersection signal timing characteristics, can further reduce bus travel time delay and improve TSP effectiveness.
机译:过境时间受许多因素影响,包括交通信号和交通状况。运输机构已实施了诸如运输信号优先级(TSP)之类的策略,以减少运输行程时间并提高服务可靠性。然而,由于缺乏经验数据,尚未在停靠站层面上研究这些因素和改善策略对公交车出行时间的共同影响。该研究利用并整合了城市动脉沿线的三个数据库走廊在俄勒冈州波特兰。数据源包括俄勒冈州三县城市交通区(TriMet)提供的停车级公共汽车自动车辆位置(AVL)和自动乘客计数(APC)数据,悉尼协调交通系统(SCATS)信号相位记录数据,和波特兰市提供的交叉路口车辆计数数据。基于这些细粒度经验数据的独特收集和集成,本研究利用多个线性回归模型来理解和量化交叉路口信号延迟,交通状况和公交车站位置对公交车行驶时间及其在站点到终点的可变性的联合影响。 -停止细分。结果表明,交叉路口信号延迟是影响公交车出行时间可变性的关键因素。信号延迟量几乎与路口红色相位持续时间线性相关。结果表明,交通状况(交通量)对公交车出行时间的影响随交叉路口和一天中的时间而显着变化。;本研究还提出了新的有用的性能指标,用于评估TSP系统的有效性。通过比较TSP阶段的开始和结束时间与交叉路口的公交车到达时间,研究了TSP请求(公交车晚点)与TSP阶段之间的关系。结果表明,要求TSP的公交车很少使用绿色扩展阶段,并且大多数绿色扩展阶段的授予都为时已晚。早期绿色效果(有效早期绿色阶段的百分比)远高于绿色扩展效果。与从绿色延伸阶段的平均时间节省相比,从早期绿色阶段估计的平均公共汽车和乘客时间节省也更大。平均而言,TSP阶段导致的小巷车辆延误估计时间少于主要大街上的公交车和汽车节省的时间。该研究结果可用于告知城市和公交机构如何改善过境操作。制定适当的策略,例如在交叉路口附近调整公交车站合并,并根据交叉路口信号时序特征优化公交车运行时间表,可以进一步减少公交车行驶时间的延迟并提高TSP的效率。

著录项

  • 作者

    Feng, Wei.;

  • 作者单位

    Portland State University.;

  • 授予单位 Portland State University.;
  • 学科 Engineering Civil.;Transportation.
  • 学位 Ph.D.
  • 年度 2014
  • 页码 145 p.
  • 总页数 145
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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