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Optimal number and location of Bluetooth sensors for travel time collection in networks.

机译:用于网络中旅行时间收集的蓝牙传感器的最佳数量和位置。

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摘要

The importance of accurate prediction of travel time in transportation engineering is irrefutable. Travel time is highly used in traffic management and planning. The accuracy of travel time prediction relies on the accuracy of the travel time data. Various methods are being used in collecting travel time data. Recently, a new method in collecting travel time data is introduced that is called Bluetooth technology. In this method, a number of Bluetooth sensors are deployed over the traffic network that can detect the Bluetooth devices in the vehicles to determine the vehicles' travel time based on matching identification and time of identification of the same Bluetooth device at two consecutive sensors.;The goal of this study is to find the optimal number and location of the Bluetooth sensors in a network in order to collect travel time data with a high reliability. Two formulations are proposed for modeling this problem. The formulations consider a new collection of reliability issues. Furthermore, the proposed formulations are able to solve the problem on large networks exactly. Moreover, various case studies of real world networks are conducted for both formulations and the results are compared.
机译:在运输工程中准确预测行驶时间的重要性是无可辩驳的。出行时间在交通管理和规划中被大量使用。行程时间预测的准确性取决于行程时间数据的准确性。收集旅行时间数据使用了各种方法。最近,引入了一种新的收集旅行时间数据的方法,称为蓝牙技术。在该方法中,在交通网络上部署了多个蓝牙传感器,这些蓝牙传感器可以检测车辆中的蓝牙设备,以基于匹配的标识和两个蓝牙传感器上同一蓝牙设备的标识时间来确定车辆的行驶时间。这项研究的目的是找到网络中蓝牙传感器的最佳数量和位置,以便以高可靠性收集旅行时间数据。提出了两种公式来对此问题进行建模。这些公式考虑了可靠性问题的新集合。此外,提出的公式能够准确地解决大型网络上的问题。此外,对两种配方都进行了现实世界网络的各种案例研究,并对结果进行了比较。

著录项

  • 作者

    Asudegi, Mona.;

  • 作者单位

    University of Maryland, College Park.;

  • 授予单位 University of Maryland, College Park.;
  • 学科 Engineering Civil.;Operations Research.;Transportation.
  • 学位 M.S.
  • 年度 2009
  • 页码 104 p.
  • 总页数 104
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 建筑科学;综合运输;运筹学;
  • 关键词

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