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考虑多路径选择的定制电动公交线路优化
引用本文:郭戎格,关伟,张文义,段梦媛. 考虑多路径选择的定制电动公交线路优化[J]. 交通运输系统工程与信息, 2021, 21(2): 133-138. DOI: 10.16097/j.cnki.1009-6744.2021.02.019
作者姓名:郭戎格  关伟  张文义  段梦媛
作者单位:北京交通大学,综合交通运输大数据应用技术交通运输行业重点实验室,北京 100044
基金项目:中央高校基本科研业务费专项资金/Fundamental Research Funds for the Central Universities (2019YJS090)
摘    要:
为提高定制电动公交系统运营效率,本文探讨了考虑多路径选择的定制电动公交线路优化问题.首先,构建描述该问题的混合整数规划模型,以实现线路与路径的双重决策优化.模型以运营总收益最大化为目标,在约束中考虑定制电动公交特性,如车容量,乘客出行时间窗,续航里程,访问站点数等.其次,为求解模型,设计新的自适应大邻域搜索算法,提出相...

关 键 词:城市交通  线路优化  自适应大邻域搜索  定制电动公交  多路径选择
收稿时间:2020-10-01

Customized Electric Bus Routing Optimization Considering Multi-path Selection
GUO Rong-ge,GUAN Wei,ZHANG Wen-yi,DUAN Meng-yuan. Customized Electric Bus Routing Optimization Considering Multi-path Selection[J]. Journal of Transportation Systems Engineering and Information Technology, 2021, 21(2): 133-138. DOI: 10.16097/j.cnki.1009-6744.2021.02.019
Authors:GUO Rong-ge  GUAN Wei  ZHANG Wen-yi  DUAN Meng-yuan
Affiliation:Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Ministry of Transport, Beijing Jiaotong University, Beijing 100044, China
Abstract:
To improve the operational efficiency of customized electric bus system, this paper investigated the customized electric bus routing problem considering multi- path selection. A mixed integer programming model was developed to describe the problem and to optimize both the bus routes and traveling paths. The model aimed at maximizing the total profit with the consideration of the constrains of customized electric buses characteristics which include vehicle capacity, passenger travel time window, battery charge, visiting stations, etc. To solve the algorithm, a new adaptive large neighborhood search algorithm was proposed with initial solution generation rules and neighborhood search operators. The effectiveness of the proposed algorithm was verified by numerical examples. The empirical analysis was conducted based on the actual road network and passenger travel spatial- temporal demand, which verified the effectiveness of multi-path selection on bus route optimization. The results show that the proposed method can generate diverse route operation schemes for operators, which provides useful references for customized electric bus route design.
Keywords:urban traffic  routing optimization  adaptive large neighborhood search  customized electric bus  multi-path selection  
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