Train trajectory optimization of opposite trains on single-Track railway lines

Pengling Wang, Rob M P Goverde

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

7 Citations (Scopus)

Abstract

This paper studies the train trajectory optimization problem of two opposite trains on single-Track railway lines. A two-Train trajectory optimization problem is formulated using the multiple-phase optimal control model, where the timetable as well as train performance parameters, track gradients, curves, speed limits and energy-saving requirements are taken into account. Multiple-Tracks at stations are reflected in the model, so that trains may use different tracks at stations. A meeting constraint is developed to avoid head-on conflicts between opposite trains on open tracks. The trajectories of the two opposite trains are optimized simultaneously by a pseudospectral method with minimizing energy consumption as the objective function. In addition, an optimization method is developed for energy-efficient time-distance paths for two opposite trains based on the two-Train trajectory optimization model. The method is applied in case studies of two opposite trains running on a Dutch single-Track railway corridor. The results show that our method is able to produce optimal trajectories and time-distance paths for both trains within a short time.

Original languageEnglish
Title of host publication2016 IEEE International Conference on Intelligent Rail Transportation, ICIRT 2016
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages23-31
Number of pages9
ISBN (Electronic)9781509015559
DOIs
Publication statusPublished - 11 Oct 2016
Event2016 IEEE International Conference on Intelligent Rail Transportation, ICIRT 2016 - Birmingham, United Kingdom
Duration: 23 Aug 201625 Aug 2016

Conference

Conference2016 IEEE International Conference on Intelligent Rail Transportation, ICIRT 2016
CountryUnited Kingdom
CityBirmingham
Period23/08/1625/08/16

Keywords

  • Energy-efficient timetable
  • Multiple-phase optimization model
  • Single-Track lines
  • Train trajectory optimization

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