Timetables Optimization of Trains at Night for Urban Rail Transit for Dynamic Demand Based on a 0-1 Integer Programming Model

Di Zhang, Yuan Gao

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

With the continuous development of social economy, urban rail transit network plays a more and more important role in urban traffic. Due to its operating hours do not last a full day, the optimization of trains schedule connection at night is of great significance to improve the operation level. Firstly, in terms of the dynamic demand, a space-time network is constructed firstly. Then, this paper mainly formulates a 0-1 integer programming model on the basis of the space-time network, whose objective is to minimize the total travel time of the origin-destination(OD) demand. Considering the linearity of this model, a simple example is designed and solved by GUROBI. The results show that this model can effectively improve the OD accessibility and reduce the total travel time to a certain extent.

Original languageEnglish
Title of host publicationProceedings - 2021 2nd International Conference on Urban Engineering and Management Science, ICUEMS 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages44-47
Number of pages4
ISBN (Electronic)9781665412896
DOIs
Publication statusPublished - Jan 2021
Externally publishedYes
Event2nd International Conference on Urban Engineering and Management Science, ICUEMS 2021 - Virtual, Sanya, China
Duration: 29 Jan 202131 Jan 2021

Publication series

NameProceedings - 2021 2nd International Conference on Urban Engineering and Management Science, ICUEMS 2021

Conference

Conference2nd International Conference on Urban Engineering and Management Science, ICUEMS 2021
Country/TerritoryChina
CityVirtual, Sanya
Period29/01/2131/01/21

Keywords

  • 0-1 integer programming model
  • Timetable synchronization
  • dynamic demand
  • space-time network

Fingerprint

Dive into the research topics of 'Timetables Optimization of Trains at Night for Urban Rail Transit for Dynamic Demand Based on a 0-1 Integer Programming Model'. Together they form a unique fingerprint.

Cite this