{"title":"地铁列车与高铁列车深夜运行的节日时刻表同步:一体化双向换乘优化模型","authors":"Xuan Li , Yan Liu , Quan Zhang","doi":"10.1080/19427867.2023.2290789","DOIUrl":null,"url":null,"abstract":"<div><div>This paper focuses on synchronizing festival timetables between high-speed railway (HSR) and metro for late-night operations. A multi-objective model is proposed to optimize metro timetables of the last service period incorporating collaboration with HSR timetables. The model is designed to facilitate bi-directional transfers by maximizing spatial accessibility and temporal availability of metro service as well as minimizing transfer waiting times for HSR passengers. Our model can be efficiently solved using Gurobi, providing optimal solutions for large-scale metro networks within reasonable computational timeframes. A real-world case study is conducted to validate the effectiveness of our model. The results indicate that slight adjustments to metro timetables, without introducing additional trains, can yield significantly enhancements in late-night metro service for HSR passengers. Moreover, a smaller extension of service time across the entire metro network is proved to be more effective than a greater extension of service time on hub-connected metro lines.</div></div>","PeriodicalId":48974,"journal":{"name":"Transportation Letters-The International Journal of Transportation Research","volume":"16 10","pages":"Pages 1252-1267"},"PeriodicalIF":3.3000,"publicationDate":"2024-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Festival timetable synchronization of metro trains and high-speed railway trains for late-night operations: an integrated bi-directional transfer optimization model\",\"authors\":\"Xuan Li , Yan Liu , Quan Zhang\",\"doi\":\"10.1080/19427867.2023.2290789\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This paper focuses on synchronizing festival timetables between high-speed railway (HSR) and metro for late-night operations. A multi-objective model is proposed to optimize metro timetables of the last service period incorporating collaboration with HSR timetables. The model is designed to facilitate bi-directional transfers by maximizing spatial accessibility and temporal availability of metro service as well as minimizing transfer waiting times for HSR passengers. Our model can be efficiently solved using Gurobi, providing optimal solutions for large-scale metro networks within reasonable computational timeframes. A real-world case study is conducted to validate the effectiveness of our model. The results indicate that slight adjustments to metro timetables, without introducing additional trains, can yield significantly enhancements in late-night metro service for HSR passengers. Moreover, a smaller extension of service time across the entire metro network is proved to be more effective than a greater extension of service time on hub-connected metro lines.</div></div>\",\"PeriodicalId\":48974,\"journal\":{\"name\":\"Transportation Letters-The International Journal of Transportation Research\",\"volume\":\"16 10\",\"pages\":\"Pages 1252-1267\"},\"PeriodicalIF\":3.3000,\"publicationDate\":\"2024-11-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Transportation Letters-The International Journal of Transportation Research\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/org/science/article/pii/S1942786723002552\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"TRANSPORTATION\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Letters-The International Journal of Transportation Research","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/org/science/article/pii/S1942786723002552","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"TRANSPORTATION","Score":null,"Total":0}
Festival timetable synchronization of metro trains and high-speed railway trains for late-night operations: an integrated bi-directional transfer optimization model
This paper focuses on synchronizing festival timetables between high-speed railway (HSR) and metro for late-night operations. A multi-objective model is proposed to optimize metro timetables of the last service period incorporating collaboration with HSR timetables. The model is designed to facilitate bi-directional transfers by maximizing spatial accessibility and temporal availability of metro service as well as minimizing transfer waiting times for HSR passengers. Our model can be efficiently solved using Gurobi, providing optimal solutions for large-scale metro networks within reasonable computational timeframes. A real-world case study is conducted to validate the effectiveness of our model. The results indicate that slight adjustments to metro timetables, without introducing additional trains, can yield significantly enhancements in late-night metro service for HSR passengers. Moreover, a smaller extension of service time across the entire metro network is proved to be more effective than a greater extension of service time on hub-connected metro lines.
期刊介绍:
Transportation Letters: The International Journal of Transportation Research is a quarterly journal that publishes high-quality peer-reviewed and mini-review papers as well as technical notes and book reviews on the state-of-the-art in transportation research.
The focus of Transportation Letters is on analytical and empirical findings, methodological papers, and theoretical and conceptual insights across all areas of research. Review resource papers that merge descriptions of the state-of-the-art with innovative and new methodological, theoretical, and conceptual insights spanning all areas of transportation research are invited and of particular interest.