Journal
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
Volume 126, Issue -, Pages 192-212Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.trb.2019.04.003
Keywords
Railroad; Robustness; Optimization; Simulation; Punctuality
Categories
Funding
- Swedish Transport Administration (Trafikverket) grant [TRV 2016/5090]
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Minimal travel time and maximal reliability are two of the most important properties of a railway transportation service. This paper considers the problem of finding a timetable for a given set of departures that minimizes the weighted sum of scheduled travel time and expected delay, thereby capturing these two important socio-economic properties of a timetable. To accurately represent the complex secondary delays in operational railway traffic, an approach combining microscopic simulation and macroscopic timetable optimization is proposed. To predict the expected delay in the macroscopic timetable, a surrogate function is formulated, as well as a subproblem to calibrate the parameters in the model. In a set of computational experiments, the approach increased the socio-economic benefit by 2-5% and improved the punctuality by 8-25%. (C) 2019 Elsevier Ltd. All rights reserved.
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