Optimization of passenger flow control and customized bus bridging in urban rail transit network

IF 4.3 2区 工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computers & Operations Research Pub Date : 2025-06-01 Epub Date: 2025-02-06 DOI:10.1016/j.cor.2025.106997
Qingqing Zhao , Jinjin Tang , Chao Li , Qiuhan Dong , Tao Feng , Xingwei Yang
{"title":"Optimization of passenger flow control and customized bus bridging in urban rail transit network","authors":"Qingqing Zhao ,&nbsp;Jinjin Tang ,&nbsp;Chao Li ,&nbsp;Qiuhan Dong ,&nbsp;Tao Feng ,&nbsp;Xingwei Yang","doi":"10.1016/j.cor.2025.106997","DOIUrl":null,"url":null,"abstract":"<div><div>When dealing with large passenger flows in urban rail transit, developing reasonable passenger flow control plans is a crucial aspect of operational management. When many passengers wait outside the stations, customized buses can serve as an effective way to alleviate passenger pressure. To obtain reasonable passenger flow control and customized bus connection plans, we propose an optimization method for passenger flow control and customized bus connections. Firstly, we construct a two-stage model. The first-stage model formulates the passenger flow control plan to minimize the number of waiting passengers inside and outside the station considering factors such as passenger arrivals and urban rail transit train departures and arrivals. The second-stage model develops the customized bus plan based on a time–space-state network. According to the characteristics of the model, the CPLEX solver is used to solve the first-stage model, and a Lagrange relaxation-based solution method is designed to solve the second-stage model. To verify the effectiveness of the model, a small-scale case study including two lines and five stations is designed, and the results show that the proposed method can achieve effective passenger flow control and bus connection plans. Additionally, actual data from the Chengdu Metro is used to further validate the feasibility of the method. The results indicate that the passenger flow control and bus bridging plans can effectively reduce passenger waiting time. The proposed method can effectively alleviate passenger pressure, ensure passenger travel safety, and further promote the coordinated development of public transportation.</div></div>","PeriodicalId":10542,"journal":{"name":"Computers & Operations Research","volume":"178 ","pages":"Article 106997"},"PeriodicalIF":4.3000,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers & Operations Research","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0305054825000255","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/2/6 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0

Abstract

When dealing with large passenger flows in urban rail transit, developing reasonable passenger flow control plans is a crucial aspect of operational management. When many passengers wait outside the stations, customized buses can serve as an effective way to alleviate passenger pressure. To obtain reasonable passenger flow control and customized bus connection plans, we propose an optimization method for passenger flow control and customized bus connections. Firstly, we construct a two-stage model. The first-stage model formulates the passenger flow control plan to minimize the number of waiting passengers inside and outside the station considering factors such as passenger arrivals and urban rail transit train departures and arrivals. The second-stage model develops the customized bus plan based on a time–space-state network. According to the characteristics of the model, the CPLEX solver is used to solve the first-stage model, and a Lagrange relaxation-based solution method is designed to solve the second-stage model. To verify the effectiveness of the model, a small-scale case study including two lines and five stations is designed, and the results show that the proposed method can achieve effective passenger flow control and bus connection plans. Additionally, actual data from the Chengdu Metro is used to further validate the feasibility of the method. The results indicate that the passenger flow control and bus bridging plans can effectively reduce passenger waiting time. The proposed method can effectively alleviate passenger pressure, ensure passenger travel safety, and further promote the coordinated development of public transportation.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
城市轨道交通网络客流控制优化与定制化公交搭桥
在处理城市轨道交通的大客流时,制定合理的客流控制方案是运营管理的一个重要方面。当许多乘客在车站外等待时,定制巴士可以作为缓解乘客压力的有效方法。为获得合理的客流控制和定制化公交接驳方案,提出了一种客流控制和定制化公交接驳优化方法。首先,我们构建了一个两阶段模型。第一阶段模型考虑旅客到达和城市轨道交通列车始发到达等因素,制定客流控制方案,使站内外候车人数最小化。第二阶段模型基于时间-空间-状态网络开发定制总线方案。根据模型的特点,采用CPLEX求解器求解第一阶段模型,设计基于拉格朗日松弛的求解方法求解第二阶段模型。为了验证该模型的有效性,设计了包括2条线路和5个站点的小规模案例研究,结果表明该方法可以有效地实现客流控制和公交接驳规划。并以成都地铁的实际数据为例,进一步验证了方法的可行性。结果表明,客流控制和公交过桥方案能有效减少乘客候车时间。该方法可以有效缓解乘客压力,保障乘客出行安全,进一步促进公共交通协调发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Computers & Operations Research
Computers & Operations Research 工程技术-工程:工业
CiteScore
8.60
自引率
8.70%
发文量
292
审稿时长
8.5 months
期刊介绍: Operations research and computers meet in a large number of scientific fields, many of which are of vital current concern to our troubled society. These include, among others, ecology, transportation, safety, reliability, urban planning, economics, inventory control, investment strategy and logistics (including reverse logistics). Computers & Operations Research provides an international forum for the application of computers and operations research techniques to problems in these and related fields.
期刊最新文献
Beware of the classical benchmark instances for the Traveling Salesman Problem with Time Windows A speed-up for Helsgaun’s TSP heuristic by relaxing the positive gain criterion A memory-enhanced Greedy Randomized Adaptive Search Procedure for the Multi-Pickup and Delivery Problem with Time Windows A neural-driven constructive heuristic for the flexible job shop scheduling problem: An efficient alternative to complex deep learning methods Constraint programming approaches for stochastic Resource-Constrained Project Scheduling Problem subject to disruptions
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1