• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Mathematical Problems in Engineering >Estimation Method of Path-Selecting Proportion for Urban Rail Transit Based on AFC Data
【24h】

Estimation Method of Path-Selecting Proportion for Urban Rail Transit Based on AFC Data

机译：基于AFC数据的城市轨道交通路径选择比例估计方法

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

With the successful application of automatic fare collection (AFC) systemin urban rail transit (URT), the information of passengers' travel time is recorded, which provides the possibility to analyze passengers' path-selecting by AFC data. In this paper, the distribution characteristics of the components of travel time were analyzed, and an estimation method of path-selecting proportion was proposed. This method made use of single path ODs' travel time data from AFC system to estimate the distribution parameters of the components of travel time, mainly including entry walking time (ewt), exit walking time (exwt), and transfer walking time (twt). Then, for multipath ODs, the distribution of each path's travel time could be calculated under the condition of its components' distributions known. After that, each path's path-selecting proportion can be estimated. Finally, simulation experiments were designed to verify the estimation method, and the results show that the error rate is less than 2%. Compared with the traditional models of flow assignment, the estimation method can reduce the cost of artificial survey significantly and provide a new way to calculate the path-selecting proportion for URT.
机译：随着自动收费系统（AFC）在城市轨道交通（URT）中的成功应用，记录了乘客的出行时间信息，这为通过AFC数据分析乘客的选路提供了可能性。分析了行进时间分量的分布特征，提出了路径选择比例的估计方法。该方法利用来自AFC系统的单路径OD的行进时间数据来估计行进时间各组成部分的分布参数，主要包括进入行进时间（ewt），出口行进时间（exwt）和转移行进时间（twt） 。然后，对于多路径OD，可以在已知其组件分布的条件下计算每个路径的行进时间分布。此后，可以估计每个路径的路径选择比例。最后，通过仿真实验验证了估计方法的正确性，结果表明误差率小于2％。与传统的流量分配模型相比，该估算方法可以显着降低人工勘测的成本，为计算URT的选路比例提供了一种新途径。

著录项

  • 来源
    《Mathematical Problems in Engineering》 |2015年第16期|350397.1-350397.9|共9页
  • 作者

    Zhou Feng; Shi Jun-gang; Xu Rui-hua;

  • 作者单位

    Tongji Univ, Intelligent Transportat Inst Adv Study, Shanghai 200092, Peoples R China.;

    Tongji Univ, Sch Transportat Engn, Shanghai 200092, Peoples R China.;

    Tongji Univ, Intelligent Transportat Inst Adv Study, Shanghai 200092, Peoples R China.;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号