TTOBench—an Open-Source Library for Train Trajectory Optimization
-
Published:2023-09-16
Issue:4
Volume:4
Page:
-
ISSN:2662-2556
-
Container-title:Operations Research Forum
-
language:en
-
Short-container-title:Oper. Res. Forum
Author:
Kouzoupis Dimitris,Pendharkar Ishan,Corman Francesco
Abstract
AbstractOver 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.
Funder
National Centre of Competence in Research Automation, Switzerland
Swiss Federal Institute of Technology Zurich
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Control and Optimization,Computer Science Applications,Economics, Econometrics and Finance (miscellaneous)
Reference24 articles.
1. Scheepmaker GM, Goverde RMP, Kroon LG (2017) Review of energy-efficient train control and timetabling. Eur J Oper Res 257:355–376
2. Strobel H, Horn P, Kosemund M (1974) Contribution to optimum computer-aided control of train operation. In: 2nd IFAC/IFIP/IFORS Symposium on Traffic Control and Transportation Systems, pp 377–387
3. Howlett PG, Pudney PJ (1995) Energy-efficient train control. Springer, London
4. Franke R, Terwiesch P, Meyer M (2000) An algorithm for the optimal control of the driving of trains. In: Proceedings of the IEEE Conference on Decision and Control (CDC)
5. Nold M, Corman F (2022) Modelling realistic energy losses from variable efficiency and vehicle systems. In: Determining Energy Efficient Train Control. Swiss Transport Research Conference (STRC)
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献