Automatic Placement of Digital Signals in Railway Digitalization: A Constraint Approach
Sven Löffler, Petra Hofstedt
2024
Abstract
The aim of digitalization is to streamline operations and conserve resources; however, the process itself often requires significant intellectual and resource investment. This paper addresses a digitalization challenge within the German railway system, focusing on the placement of digital signals at appropriate distances from existing switches along station track sections, replacing analog signals. This study serves as a feasibility analysis demonstrating how constraint programming can resolve the problem. We first formulate a constraint problem that defines the issue, then demonstrate methods to accelerate the solution process of the model, making it suitable for larger problems. This approach is validated through a series of tests using generated scenarios to illustrate its applicability to real-world challenges.
DownloadPaper Citation
in Harvard Style
Löffler S. and Hofstedt P. (2024). Automatic Placement of Digital Signals in Railway Digitalization: A Constraint Approach. In Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO; ISBN 978-989-758-717-7, SciTePress, pages 101-112. DOI: 10.5220/0012994800003822
in Bibtex Style
@conference{icinco24,
author={Sven Löffler and Petra Hofstedt},
title={Automatic Placement of Digital Signals in Railway Digitalization: A Constraint Approach},
booktitle={Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2024},
pages={101-112},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012994800003822},
isbn={978-989-758-717-7},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO
TI - Automatic Placement of Digital Signals in Railway Digitalization: A Constraint Approach
SN - 978-989-758-717-7
AU - Löffler S.
AU - Hofstedt P.
PY - 2024
SP - 101
EP - 112
DO - 10.5220/0012994800003822
PB - SciTePress