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.

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Paper 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