A Lagrangian Method for Calculation of Passing Capacity on a Railway Hub Station

Author:

Yang Lu1ORCID,Zhou Leishan1,Zhou Hanxiao1ORCID,Han Chang1ORCID,Zhao Wenqiang1

Affiliation:

1. School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China

Abstract

This research paper proposes a Lagrangian method to address the passing capacity of the calculation problem (PCCP) for a hub station in a high-speed railway (HSR) system. The passing capacity of a hub station is critical for determining the train timetable and maximizing the number of trains that can operate on different lines. The objective of this study is to determine the maximum number of trains that can pass through, start at, or end at a hub station. To achieve this objective, a mathematical model was introduced to solve the PCCP. The model was decomposed into two parts using a Lagrangian relaxation algorithm. The first part of the model was a simple train arrival problem (TAP) that reflected the timing of trains at the hub station with simultaneous arrival and departure time constraints. The second part of the model was a train spatio-temporal routing problem (TSRP) that aimed to solve the shortest spatio-temporal path of trains with free conflict with the train’s trajectory. A real instance was provided to demonstrate the feasibility of the proposed approach and the effectiveness of the Lagrangian method. The results showed that the proposed method can efficiently solve the PCCP and maximize the passing capacity of a hub station in an HSR system.

Funder

Research on the Compilation and Method of Periodic Train Timetabling for High-Speed Railways under Large-Scale Complex Network Conditions

Intelligent Compilation and Management Platform for Networked Train Operation Plans in Urban Rail Transit

Publisher

MDPI AG

Subject

General Mathematics,Engineering (miscellaneous),Computer Science (miscellaneous)

Reference37 articles.

1. Applicability of the Analytical UIC Code 406 Compression Method for Evaluating Line and Station Capacity;Lindner;J. Rail Transp. Plan. Manag.,2011

2. Guo, B. (2017). Study on Comprehensive Optimization Model, Algorithm and System of High-Speed Railway Large Passenger Station Technical Operations, Beijing Jiaotong University.

3. Yang, H. (2015). Railway Transportation Organization, China Railway Publishing House Co., Ltd.. [4th ed.].

4. Statistical Bureau of the People’s Republic of China (2021). Statistical Bureau of the People’s Republic of China Statistical Bulletin of National Economic and Social Development in 2021.

5. Optimizing Capacity Utilization of Stations by Estimating Knock-on Train Delays;Yuan;Transp. Res. Part B Methodol.,2007

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3