Timetable Recovery After Disturbances in Metro Operations: An Exact and Efficient Solution

Konstantinos Gkiotsalitis*, O. Cats

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

1 Citation (Scopus)
2 Downloads (Pure)

Abstract

This study proposes an exact model for timetable recovery after disturbances in the context of high-frequency public transport services. The objective of our model is the minimization of the deviation between the actual headway and the respective planned value. The resulting mathematical program for the rescheduling problem is nonlinear and non-smooth; thus, it cannot be solved to optimality. To rectify this, we reformulate the model using slack variables. The reformulated model can be solved to global optimality in real-time with quadratic programming. We apply the model to real data from the red metro line in Washington D.C. in a series of experiments. In our experiments, we investigate how many upstream trips should be rescheduled to respond to a service disturbance. Our findings demonstrate an improvement potential of service regularity of up to 30% if we reschedule the five upstream trips of a disturbed train.
Original languageEnglish
JournalIEEE transactions on intelligent transportation systems
DOIs
Publication statusE-pub ahead of print/First online - 10 Dec 2020

Fingerprint

Dive into the research topics of 'Timetable Recovery After Disturbances in Metro Operations: An Exact and Efficient Solution'. Together they form a unique fingerprint.

Cite this