An ABC-Based Subway Timetable Optimization Model for Regenerative Energy Utilization

Hongjie Liu, Mengchu Zhou, Xiwang Guo, Haoyue Liu, Tao Tang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

Maximizing regenerative energy utilization (REU) through timetable optimization has become a hot topic recently. Considering the constraints of operation time for a subway system and travel time for each train, we propose a new timetable optimization problem to maximize REU. We formulate its mathematical model, and then an artificial bee colony (ABC)- based algorithm is designed to solve it. Case studies are conducted based on the actual data obtained from a real subway line. Experiments results prove the correctness of the mathematical model and effectiveness of the proposed ABC-based algorithm. The results are also used to improve the currently used timetable by reallocating its headway and dwell time properly. Impacts of decision variables on REU are discussed, which is useful for the timetable designers. In addition, the ABC-based algorithm is compared with GA and outperforms the latter.

Original languageEnglish (US)
Title of host publicationProceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1416-1421
Number of pages6
ISBN (Electronic)9781538666500
DOIs
StatePublished - Jan 16 2019
Event2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018 - Miyazaki, Japan
Duration: Oct 7 2018Oct 10 2018

Publication series

NameProceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018

Conference

Conference2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018
CountryJapan
CityMiyazaki
Period10/7/1810/10/18

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Information Systems and Management
  • Health Informatics
  • Artificial Intelligence
  • Computer Networks and Communications
  • Human-Computer Interaction

Keywords

  • Timetable optimization
  • artificial bee colony (ABC)
  • dwell time
  • headway time
  • intelligent optimization
  • regenerative energy utilization (REU)

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