J4 ›› 2013, Vol. 26 ›› Issue (4): 85-90.doi: 10.3976/j.issn.1002-4026.2013.04.018

• 交通运输专栏 • 上一篇    下一篇

基于客运需求的城乡公交动态路径问题研究

郗文彬,宋瑞,何必胜,刘星材   

  1. 1 北京交通大学城市交通复杂系统理论与技术教育部重点实验室,北京 100044;
    2北京交通大学交通运输学院,北京 100044
  • 收稿日期:2013-03-25 出版日期:2013-08-20 发布日期:2013-08-20
  • 作者简介:郗文彬(1986-),硕士研究生,研究方向为城市交通规划与管理。Email: xiwenbin001@163.com
  • 基金资助:

    ]国家重点基础研究发展计划资助课题(2012CB725403);铁道部科技研究开发计划课题(2012X012-E);北京交通大学基本科研业务费(2012YJS068)

Passenger transport demand based dynamic routing for urbanrural public transportation

 XI Wen-Bin, SONG Rui, HE Bi-Sheng, LIU Xing-Cai   

  1. 1. Ministry of Education Key Laboratory for Urban Transportation Complex System Theory and Technology, School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China;  2. School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China
  • Received:2013-03-25 Online:2013-08-20 Published:2013-08-20

摘要:

      通过对城乡公交发展现状的研究,针对农村客运存在的问题和居民出行特征,将动态路径公交服务应用于城乡公交。在动态车辆路径问题研究的基础上,考虑车辆数限制、车辆载客容量限制、车辆由客运中心出发再回到客运中心的约束,建立了以总运营成本最小为目标函数的车辆路径优化模型。经过分析,采用商业数学规划软件Lingo120进行模型求解。最后,以留史镇为例验证了模型的有效性,结果表明该模型能在满足客运需求的前提下为车辆安排最佳运行路径,降低运营成本。

关键词: 城乡公交, 动态车辆路径, 客运需求

Abstract:

      This paper applies dynamic routing bus service to urbanrural public transportation by analyzing the status quo of urbanrural public transportation in view of the issue of rural passenger transport and the characteristics of resident trip. A vehicle routing optimization model is presented to minimize the total operation cost based on the limits of vehicle number and capacity. Software Lingo12.0 is then employed to solve the mathematical model. The case of Liushi town validates its effectiveness. Results indicate that the model can be employed to arrange the optimum route for urbanrural public transportation and reduce total operation cost in the condition of satisfying the requirement of passenger transport.

Key words: urbanrural public transportation, dynamic vehicle routing, passenger transport demand

中图分类号: 

  • U116.2

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