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Buses as Probe Vehicles for Travel Time Data Collection on Urban Arterials

机译:公共汽车作为探测车辆,用于收集城市干道的旅行时间数据

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摘要

Floating car method, technologies such as global positioning system (GPS) units or data from private sources such as INRIX are used for travel time data collection on urban streets. Time, man-power, and cost deter (limit) collection and purchase of such data for the entire transportation network. An alternate source of the travel time data is using buses as probe vehicles. This is practically feasible and inexpensive as most buses operating in urban areas are equipped with automatic vehicle location (AVL) units. However, the travel time of buses is generally greater than the travel time of a typical vehicle (car). The use or applicability could only be justified if there is strong correlation between car and bus travel times. This paper, therefore, examines the relationship between car and bus travel time. The role of key influential factors (such as the number of signalized intersections, the number of unsignalized intersections, the number of driveways, the number of bus-stops, traffic volume, the number of lanes and the number of turns made by the bus) on the ratio between the two travel times is also evaluated and examined to assess the use of buses as probe vehicles. Results indicate a moderately strong relationship between car and bus travel time. Variables other than the number of signalized intersections per unit distance, the number of lanes, and traffic volume do not seem to play a statistically significant role on the ratio of car to bus travel time irrespective of time-of-the-day. Models by time-of-the-day, developed to estimate car travel time, could be used if bus travel time, the number of signalized intersections per unit distance, the number of lanes, and traffic volume are known.
机译:浮动汽车方法,全球定位系统(GPS)单元之类的技术或INRIX等私人来源的数据被用于收集城市街道上的旅行时间数据。为整个运输网络收集和购买此类数据的时间,人力和成本限制(限制)。行驶时间数据的另一个来源是使用公共汽车作为探测车辆。由于大多数在市区运行的公交车都配备了自动车辆定位(AVL)单元,因此这在实际中是可行且廉价的。然而,公共汽车的行驶时间通常大于典型车辆(汽车)的行驶时间。只有在汽车和公交车的出行时间之间有很强的相关性时,才可以证明其使用或适用性。因此,本文研究了汽车与公交车旅行时间之间的关系。关键影响因素的作用(例如信号交叉口的数量,无信号交叉口的数量,车道数量,公交车站数量,交通量,车道数量和公交车转弯数量)还评估并检查了两个行驶时间之间的比率,以评估将公共汽车用作探测车。结果表明,汽车和公交车出行时间之间存在中等程度的强烈关系。除了单位时间的信号交叉口数量,车道数量和交通量以外,其他变量似乎对汽车与公交车出行时间的比例没有统计学意义的影响。如果已知公交行驶时间,每单位距离的信号交叉口数量,车道数量和交通量,则可以使用按时间划分的模型来估算汽车的行驶时间。

著录项

  • 来源
  • 会议地点 Orlando FL(US)
  • 作者单位

    Department of Civil and Environmental Engineering, The University of North Carolina at Charlotte, 9201 University City Boulevard, Charlotte, NC 28223-0001;

    Department of Civil and Environmental Engineering, The University of North Carolina at Charlotte, 9201 University City Boulevard, Charlotte, NC 28223-0001;

    Department of Civil and Environmental Engineering, The University of North Carolina at Charlotte, 9201 University City Boulevard, Charlotte, NC 28223-0001;

    Department of Civil and Environmental Engineering, The University of North Carolina at Charlotte, 9201 University City Boulevard, Charlotte, NC 28223-0001;

    Department of Civil and Environmental Engineering, The University of North Carolina at Charlotte, 9201 University City Boulevard, Charlotte, NC 28223-0001;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Bus; Probe Vehicle; Travel Time; Arterial Streets; AVL; Car;

    机译:总线;探测车旅行时间;动脉街; AVL;汽车;
  • 入库时间 2022-08-26 14:22:09

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