Virtual-coupling operation for high-speed rail based on following- train speed profile optimization

Bin Xu, Chaoxian Wu, Shaofeng Lu, Fei Xue

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

5 Citations (Scopus)

Abstract

With the increasing railway transportation demands, railway operators need to enhance the capacity in high traffic corridors to improve transportation efficiency. The establishment of the concept 'virtual coupling (V C)' provides an effective method for achieving higher capacity. The core idea is to reduce the train separation and to enable a maximized number of trains on the track. Based on the emerging modern communication techniques, the synchronous operation between different trains to form the coupled state can be achieved without any physical connection. In this paper, a following-train speed profile optimization model is proposed by employing Mixed Integer Linear Programming (MILP) approach to achieving V C with the leading train. Therefore, the safety constraints (i.e. moving block signaling (MBS)) are considered as the most important physical border between each train under the VC operation. Three cases under different scenarios are conducted on a generic high-speed rail, which proves the effectiveness of the proposed method on the speed profile optimization for following trains under the V C operation. It also shows the factors influencing the time headway under minimized -separation operations.

Original languageEnglish
Title of host publication32nd IEEE Intelligent Vehicles Symposium, IV 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1249-1254
Number of pages6
ISBN (Electronic)9781728153940
DOIs
Publication statusPublished - 11 Jul 2021
Event32nd IEEE Intelligent Vehicles Symposium, IV 2021 - Nagoya, Japan
Duration: 11 Jul 202117 Jul 2021

Publication series

NameIEEE Intelligent Vehicles Symposium, Proceedings
Volume2021-July

Conference

Conference32nd IEEE Intelligent Vehicles Symposium, IV 2021
Country/TerritoryJapan
CityNagoya
Period11/07/2117/07/21

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