中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

重庆交通大学学报(自然科学版) ›› 2016, Vol. 35 ›› Issue (2): 126-130.DOI: 10.3969/j.issn.1674-0696.2016.02.26

• 交通运输工程 • 上一篇    下一篇

校车路径优化模型及算法研究

郝 忠 娜   

  1. ( 南京交通职业技术学院 运输管理系,江苏 南京 211188)
  • 收稿日期:2014-11-06 修回日期:2015-12-13 出版日期:2016-04-25 发布日期:2016-04-25
  • 作者简介:郝忠娜(1978—),女,山东烟台人,副教授,硕士,主要从事交通运输规划与管理方面的研究。E-mail:haozn1978@163.com。
  • 基金资助:
    江苏省教育厅高校哲学社会科学研究项目(2013SJB6300048);南京交通职业技术学院校级课题(JR1210)

An Optimization Model and Algorithm for School Bus Routing

HAO Zhongna   

  1. (College of Transportation Management, Nanjing Communications Institute of Technology, Nanjing 211188, Jiangsu, P. R. China)
  • Received:2014-11-06 Revised:2015-12-13 Online:2016-04-25 Published:2016-04-25
  • Contact:

摘要: 以校车站点选择、学生群归属站点的划分以及车辆路径安排为研究对象,重点考虑了学生在车上的最大乘车时间、学生步行到候车站点的最大步行时间等约束条件,以车辆行程时间成本、学生乘车时间成本以及学生步行时间成本最小为目标建立数学规划模型。给出了解决这类问题的改进遗传算法,该算法通过启发式产生初始种群的优良个体,并针对模型特点设计带启发知识的遗传算子,提高寻优效率。实例分析表明,该方法可行,并且有比较显著的效果,能够有效地解决大规模的校车路径优化问题。

关键词: 交通运输工程, 校车路径, 优化, 数学规划模型, 改进遗传算法

Abstract: To facilitate selection of school bus stations, allocating student groups to stations and developing vehicle routings, the mathematical programming model was established to minimize the cost of the vehicle travel time, the students journey time, and the students walking time to the station by considering the key constraint conditions such as the longest riding time in the school bus and the longest walking time of students to the station. Then the improved genetic algorithm was put forward to for above purpose and by this algorithm, the excellent individual of initial population was produced by heuristic method, and the operators with heuristic knowledge were designed to improve the excellent searching efficiency. The example analysis results show that the proposed method is feasible with significant results, which can effectively provide optimal route for school bus of large number.

Key words: traffic and transportation engineering, school bus routing, optimization, mathematical programming model, improved genetic algorithm

中图分类号: