Railway Timetabling With Integrated Passenger Distribution

46 Pages Posted: 17 Dec 2019

See all articles by Johann Hartleb

Johann Hartleb

Erasmus University Rotterdam (EUR) - Rotterdam School of Management (RSM)

Marie Schmidt

Erasmus Research Institute of Management (ERIM)

Date Written: December 17, 2019

Abstract

Timetabling for railway services often aims at optimizing travel times for passengers. At the same time, restricting assumptions on passenger behavior and passenger modeling are made. While research has shown that passenger distribution on routes can be modeled with a discrete choice model, this has not been considered in timetabling yet. We investigate how a passenger distribution can be integrated into an optimization framework for timetabling and present two mixed-integer linear programs for this problem. Both approaches design timetables and simultaneously find a corresponding passenger distribution on available routes. One model uses a linear distribution model to estimate passenger route choices, the other model uses an integrated simulation framework to approximate a passenger distribution according to the logit model, a commonly used route choice model. We compare both new approaches with three state-of-the-art timetabling methods and a heuristic approach on a set of artificial instances and a partial network of Netherlands Railways (NS).

Keywords: transportation, timetabling, public transport, route choice, discrete choice model, passenger distribution

Suggested Citation

Hartleb, Johann and Schmidt, Marie, Railway Timetabling With Integrated Passenger Distribution (December 17, 2019). Available at SSRN: https://ssrn.com/abstract=3505167 or http://dx.doi.org/10.2139/ssrn.3505167

Johann Hartleb (Contact Author)

Erasmus University Rotterdam (EUR) - Rotterdam School of Management (RSM) ( email )

P.O. Box 1738
Room T08-21
3000 DR Rotterdam, 3000 DR
Netherlands

Marie Schmidt

Erasmus Research Institute of Management (ERIM) ( email )

P.O. Box 1738
3000 DR Rotterdam
Netherlands

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