Operations Research Forum, volume 4, issue 4, publication number 67

TTOBench—an Open-Source Library for Train Trajectory Optimization

Publication typeJournal Article
Publication date2023-09-16
Q2
SJR0.388
CiteScore1.5
Impact factor
ISSN26622556
Computer Science Applications
Applied Mathematics
Control and Optimization
Economics, Econometrics and Finance (miscellaneous)
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.

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GOST Copy
Kouzoupis D. et al. TTOBench—an Open-Source Library for Train Trajectory Optimization // Operations Research Forum. 2023. Vol. 4. No. 4. 67
GOST all authors (up to 50) Copy
Kouzoupis D., Pendharkar I., Corman F. TTOBench—an Open-Source Library for Train Trajectory Optimization // Operations Research Forum. 2023. Vol. 4. No. 4. 67
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TY - JOUR
DO - 10.1007/s43069-023-00248-x
UR - https://doi.org/10.1007/s43069-023-00248-x
TI - TTOBench—an Open-Source Library for Train Trajectory Optimization
T2 - Operations Research Forum
AU - Kouzoupis, Dimitris
AU - Pendharkar, Ishan
AU - Corman, Francesco
PY - 2023
DA - 2023/09/16
PB - Springer Nature
IS - 4
VL - 4
SN - 2662-2556
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2023_Kouzoupis,
author = {Dimitris Kouzoupis and Ishan Pendharkar and Francesco Corman},
title = {TTOBench—an Open-Source Library for Train Trajectory Optimization},
journal = {Operations Research Forum},
year = {2023},
volume = {4},
publisher = {Springer Nature},
month = {sep},
url = {https://doi.org/10.1007/s43069-023-00248-x},
number = {4},
doi = {10.1007/s43069-023-00248-x}
}
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