运筹学学报 ›› 2021, Vol. 25 ›› Issue (1): 1-16.doi: 10.15960/j.cnki.issn.1007-6093.2021.01.001

•   •    下一篇

公共交通驾驶员调度研究综述

沈吟东1,*(), 钱壮1, 李媛媛1   

  1. 1. 华中科技大学人工智能与自动化学院, 图像信息处理与智能控制教育部重点实验室, 武汉 430074
  • 收稿日期:2020-06-16 出版日期:2021-03-15 发布日期:2021-03-05
  • 通讯作者: 沈吟东 E-mail:yindong@hust.edu.cn
  • 作者简介:沈吟东  E-mail: yindong@hust.edu.cn
  • 基金资助:
    国家自然科学基金面上项目(71571076)

A survey on driver scheduling in public transportation

Yindong SHEN1,*(), Zhuang QIAN1, Yuanyuan LI1   

  1. 1. Key Laboratory of Imaging Processing and Intelligence Control, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China
  • Received:2020-06-16 Online:2021-03-15 Published:2021-03-05
  • Contact: Yindong SHEN E-mail:yindong@hust.edu.cn

摘要:

公共交通驾驶员调度是公共交通运营企业必不可少的核心业务之一,自20世纪60年代起就受到企业界和学术界的广泛重视,并且一直是公共交通研究领域的热点课题之一。首先阐述驾驶员调度问题与数学模型;然后对现有的驾驶员调度研究成果进行归纳分析,总结出主要求解模式,并且根据驾驶员调度问题研究的历史发展,对驾驶员调度方法进行综述;最后展望未来的趋势和研究方向。

关键词: 驾驶员调度, 公共交通, 整数规划, 智能优化, 综述

Abstract:

Driver scheduling is one of the indispensable core businesses in public transportation system. The driver scheduling problem has attracted much research interests and a large amount of scheduling approaches have been developed since the 1960s. This paper first introduces the driver scheduling problem and its common mathematical model; then, two kinds of solution modes are summarized whilst an overview of driver scheduling approaches are reported; finally, future research trends and directions are suggested.

Key words: driver scheduling, public transportation, integer linear programming, intelligent optimization, review

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