北京邮电大学学报(社科版) ›› 2018, Vol. 20 ›› Issue (3): 50-58.

• 经济与管理 • 上一篇    下一篇

带时间窗的互联网租车调度策略研究

  

  1. 武汉理工大学 电子商务与智能服务研究中心,湖北 武汉430070
  • 收稿日期:2018-03-21 出版日期:2018-06-30
  • 基金资助:
    国家自然科学基金资助项目(71601151);中央高校基本科研业务费专项资金项目(175215005)

Internet Vehicle Rental Scheduling Strategy with Time Windows

  1. School of Economics, Wuhan University of Technology, Wuhan 430070, China
  • Received:2018-03-21 Online:2018-06-30

摘要: 在互联网租车模式中,车辆调度能有效解决“潮汐现象”,对降低租车公司运营成本、提高用户体验起到重要作用。针对用户对服务时间的要求,在车辆调度中引入时间窗,将问题转化为带时间窗的车辆调度问题(Vehicle Routing Problem With Time Windows, VRPTW)。根据互联网租车中车辆调度过程的约束建立数学模型,针对模型特点设计遗传算法求解。基于模拟数据做测试案例,对遗传算法的调度结果进行分析,实验结果表明了模型和算法的有效性。

关键词: 互联网租车, 车辆调度, 时间窗, 遗传算法

Abstract: Vehicle scheduling in internet vehicle rental mode can effectively eliminate the ′tide phenomenon′, playing important roles in reducing operating cost of vehicle rental companies and improving user experience Aiming at users′ requirements on service time, the concept of time windows is introduced in vehicle scheduling, to transfer the problem to vehicle routing problem with time windows (VRPTW) Mathematical model is established according to the restraints during vehicle scheduling process in Internet vehicle rental, to design the genetic algorithm By taking the simulation data as the test case, analysis of the scheduling result of the genetic algorithm is conducted The experimental result verifies validity of the model and algorithm

Key words: internet vehicle rental, vehicle scheduling, time window, genetic algorithm

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