...
首页> 外文期刊>Mathematical Problems in Engineering >An Optimization Method of Passenger Assignment for Customized Bus
【24h】

An Optimization Method of Passenger Assignment for Customized Bus

机译:定制客车客流分配的优化方法

获取原文
获取原文并翻译 | 示例

摘要

This study proposes an optimization method of passenger assignment on customized buses (CB). Our proposed method guarantees benefits to passengers by balancing the elements of travel time, waiting time, delay, and economic cost. The optimization problem was solved using a Branch and Bound (B& B) algorithm based on the shortest path for the selected stations. A simulation-based evaluation of the proposed optimization method was conducted. We find that a CB service can save 38.33% in average travel time, 38.33% in average waiting time, and 27.78% in delay penalties, all at an acceptable ticket price. The variations are caused by different degrees of busload. A detailed investigation revealed that a CB can significantly reduce travel time, waiting time, and delays, with the degree of benefits showing a decreasing trend with corresponding increases in busload. This finding indicates that CBs with smaller busloads can more flexibly transport passengers and provide a greater level of benefits. At the same time, a small busload strategy can be implemented more easily and in the near future on a test basis in urban China areas.
机译:本研究提出了一种定制客车(CB)上乘客分配的优化方法。我们提出的方法通过平衡旅行时间,等待时间,延误和经济成本的要素,确保为乘客带来利益。优化问题使用基于选定站的最短路径的分支定界(B&B)算法解决。对所提出的优化方法进行了基于仿真的评估。我们发现,CB服务可以以合理的机票价格节省38.33%的平均旅行时间,38.33%的平均等待时间和27.78%的延误罚款。差异是由不同程度的总线负载引起的。一项详细的调查显示,CB可以显着减少出行时间,等待时间和延误,其受益程度显示出下降的趋势,并且公交负荷相应增加。这一发现表明,载客量较小的CB可以更灵活地运送乘客,并提供更大的收益。同时,在中国城市地区,可以在不久的将来更容易地实施小型公交策略。

著录项

  • 来源
    《Mathematical Problems in Engineering 》 |2017年第6期| 7914753.1-7914753.9| 共9页
  • 作者

    Cao Yang; Wang Jian;

  • 作者单位

    Harbin Inst Technol, Sch Transportat Sci & Engn, Harbin 150090, Peoples R China;

    Harbin Inst Technol, Sch Transportat Sci & Engn, Harbin 150090, 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