Integrated Train Speed Profiles optimization Considering Signaling System and Delay

Chaoxian Wu, Shaofeng Lu, Fei Xue, Lin Jiang

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

3 Citations (Scopus)

Abstract

Many researches for optimizing the railway operation have been conducted in the past decades. Train speed profile optimization and train schedule optimization are two main components in this field while at most of times they are investigated separately but not integrated. In this paper, we propose an integrated optimization approach based on mixed integer linear programming (MILP) to optimize the train speed profiles for minimizing the total energy consumption of two adjacent trains running on the same section between two stations, in which the fixed block signaling systems (FBS) and train delay are taken into account. The green wave policy (GWP) is considered in the paper to help plan the train speed profiles. A real-world case based on one specific section of Metropolitan Line in London Underground is studied using the proposed model in the paper, the performance of which shows the cross interaction among the train motion, signaling system and schedule and the results also present the effectiveness of the approach.

Original languageEnglish
Title of host publication2018 International Conference on Intelligent Rail Transportation, ICIRT 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538675281
DOIs
Publication statusPublished - 2 Jul 2018
Event2018 International Conference on Intelligent Rail Transportation, ICIRT 2018 - Singapore, Singapore
Duration: 12 Dec 201814 Dec 2018

Publication series

Name2018 International Conference on Intelligent Rail Transportation, ICIRT 2018

Conference

Conference2018 International Conference on Intelligent Rail Transportation, ICIRT 2018
Country/TerritorySingapore
CitySingapore
Period12/12/1814/12/18

Keywords

  • FBS
  • GWP
  • MILP
  • Speed profile optimization
  • delay

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