计算机工程与应用 ›› 2013, Vol. 49 ›› Issue (12): 255-258.

• 工程与应用 • 上一篇    下一篇

乘客运输的车辆路径规划策略

戴意愿,文桂林,周华安   

  1. 湖南大学 汽车车身先进设计制造国家重点实验室,教育部特种装备先进设计与仿真计算国防重点实验室,长沙 410082
  • 出版日期:2013-06-14 发布日期:2013-06-14

Vehicle route planning for passenger transport

DAI Yiyuan, WEN Guilin, ZHOU Hua’an   

  1. State Key Lab of Advanced Design and Manufacture for Vehicle Body, Key Lab of Advanced Design and Simulation Techniques for Special Equipment, Ministry of Education, Hunan University, Changsha 410082, China
  • Online:2013-06-14 Published:2013-06-14

摘要: 针对乘客运输问题,提出一种基于粒子群算法的乘客运输车辆路径规划策略。初始化阶段对n个站点、m辆车的乘客运输问题编码成一个(n+2m)维的粒子。迭代阶段对粒子进行解码,将一个(n+2m)维的粒子解码为m辆车的行走路径,对路径进行“移除-插入额外站点”优化。实验结果表明,该策略能有效地解决乘客运输车辆路径规划问题,达到总路程最短、车辆数目最少、服务的乘客数多,减少运输成本的目的。

关键词: 粒子群算法, 多车场, 路径规划, 乘客运输

Abstract: For passenger transport problem, a route planning strategy for passenger transport vehicle based on PSO algorithm is proposed. At initialization stage, the n stops and m vehicles passenger transport problem is encoded to n+2m dimension particle. The particle is decoded at iteration stage. The n+2m dimension particle is decoded to vehicle route for the m vehicles. The remove-insert additional stop algorithm is used for optimization at encoding procedure. The experimental results show that the proposed strategy can meet the requirements of passenger transport vehicle route planning problem, and achieve the purpose of saving total cost.

Key words: Particle Swarm Optimization(PSO), multiple depot, vehicle routing planning, passenger transport