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基于列生成启发式的单线电动公交车与司机整合调度优化
引用本文:刘昊翔,吴啊峰,龙建成,周珏. 基于列生成启发式的单线电动公交车与司机整合调度优化[J]. 交通运输系统工程与信息, 2021, 21(4): 211-220. DOI: 10.16097/j.cnki.1009-6744.2021.04.026
作者姓名:刘昊翔  吴啊峰  龙建成  周珏
作者单位:合肥工业大学,a. 汽车与交通工程学院;b. 工业安全与应急技术安徽省重点实验室,合肥 230009
基金项目:国家自然科学基金;中央高校基本科研业务费专项资金
摘    要:
在考虑电动公交车里程约束与司机连续工作时间和总工作时间约束的基础上,研究单条公交线路的电动公交车与司机整合调度问题,即将给定时刻表车次分配给电动公交车和司机,同时,生成车辆运营计划和司机排班计划,设计基于列生成启发式方法求解提出的整合调度问题.列生成方法用于生成线性松弛最优解,将整个问题分解为一个主问题和两个定价子问题...

关 键 词:城市交通  整合调度  列生成算法  电动公交车  时空网络  资源约束最短路
收稿时间:2021-04-13

Column Generation-based Heuristic Approach for Electric Bus and Driver Scheduling on Single Bus Lines
LIU Hao-xiang,WU A-feng,LONG Jian-cheng,ZHOU Jue. Column Generation-based Heuristic Approach for Electric Bus and Driver Scheduling on Single Bus Lines[J]. Journal of Transportation Systems Engineering and Information Technology, 2021, 21(4): 211-220. DOI: 10.16097/j.cnki.1009-6744.2021.04.026
Authors:LIU Hao-xiang  WU A-feng  LONG Jian-cheng  ZHOU Jue
Affiliation:a. School of Automotive and Transportation Engineering; b. Anhui Province Key Laboratory of Industry Safety andEmergency Technology, Hefei University of Technology, Hefei 230009, China
Abstract:
This paper investigates the integrated electric buses and drivers scheduling problem for single bus lines. Thetrips are assigned to both electric buses and drivers to generate vehicle utilization plan and driver scheduling plan,which considers the range anxiety of electric bus and the constraints of driver's continuous working hours and totalworking time. The procedure ensures that all trips are covered by vehicle utilization plan and driver schedule plan andthe deadhead trip generated by vehicle utilization plan are also covered by driver schedule plan. The column generationbased heuristic algorithm is designed to solve the problem, which can be decomposed into a master problem and twopricing subproblems. The master problem determines driver schedules and electric bus routes from the feasible vehicleroutes set and driver schedules set and ensure that all trips and deadhead trips generated by vehicle utilization arecovered by electric buses and drivers. The pricing subproblem is described as two shortest path problems with resourceconstraints based on time-space networks to generate feasible vehicle routes and driver schedules. Then the pure divingheuristic approach is used to obtain the integer solution. Three random bus routes in Hefei city are used as examples totest the effectiveness of the proposed algorithm.
Keywords:urban traffic   integrated scheduling   column generation   electric bus   time- space network   constrainedshortest path  
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