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 , Jinjin Tang , Chao Li , Qiuhan Dong , Tao Feng , 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":4.1000,"publicationDate":"2025-02-06","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":"","PubModel":"","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.
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.