TTOBench—an Open-Source Library for Train Trajectory Optimization

Dimitris Kouzoupis (), Ishan Pendharkar and Francesco Corman
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Dimitris Kouzoupis: Fachhochschule Nordwestschweiz (FHNW)
Ishan Pendharkar: Fachhochschule Nordwestschweiz (FHNW)
Francesco Corman: ETH Zürich

SN Operations Research Forum, 2023, vol. 4, issue 4, 1-16

Abstract: Abstract Over the past few years, the field of train trajectory optimization has been enriched with numerous publications proposing novel solution algorithms, solving known practical problems or applying existing methods to academic and industrial applications. However, the data that were used in the numerical experiments - especially those related to the railway infrastructure - are rarely public, making the comparison of different algorithms or the reproduction of any results difficult if not impossible. In this work, we try to bridge this gap by introducing a library of track data with slope and speed limit information as a first step towards an open-source benchmark suite for train trajectory optimization. The collected items were either publicly available in some form or acquired by the digitalization of published figures. We encourage authors in the field to contribute to this library for the common benefit of the community.

Keywords: Energy-efficient train control; Benchmark library; Track data (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s43069-023-00248-x

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