Knowledge-Based Approach to Generate Scenarios for Testing Highly Automated On-Sight Train Operations

Lucas Greiner-Fuchs, Lucas Greiner-Fuchs, Martin Cichon

2024

Abstract

Scenario-based test methods are cumulatively used for developing and testing highly automated railway vehicles, similar to the automotive industry. However, due to significant differences between the two technologies, existing approaches in the automotive sector cannot be directly applied to railways. Therefore, it is necessary to develop revised and new processes and methods that are tailored to the rail sector. The primary step in scenario-based testing is to set up appropriate test scenarios. A significant challenge faced by the rail industry is the limited availability of measured data from actual railway operations. For this reason, knowledge-based data sources need to be primarily used and considered in the scenario generation process. This paper presents a basic approach to define sufficient quantity of test scenarios for highly automated railway vehicles, using as an example a sensor-supported system for on-sight train operation. The approach uses the system definition of the automated system as input, includes the operational design domain, and considers railway-specific data through formalities and knowledge sources. Scenarios are then systematically derived in three steps: description, combination, and derivation. In the end, a set of testable scenarios is generated that can be used for virtual and real field testing of automated train operations.

Paper Citation

in Harvard Style

Greiner-Fuchs L. and Cichon M. (2024). Knowledge-Based Approach to Generate Scenarios for Testing Highly Automated On-Sight Train Operations. In Proceedings of the 10th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS; ISBN 978-989-758-703-0, SciTePress, pages 394-401. DOI: 10.5220/0012693500003702

in Bibtex Style

@conference{vehits24,
author={Lucas Greiner-Fuchs and Martin Cichon},
title={Knowledge-Based Approach to Generate Scenarios for Testing Highly Automated On-Sight Train Operations},
booktitle={Proceedings of the 10th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS},
year={2024},
pages={394-401},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012693500003702},
isbn={978-989-758-703-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS
TI - Knowledge-Based Approach to Generate Scenarios for Testing Highly Automated On-Sight Train Operations
SN - 978-989-758-703-0
AU - Greiner-Fuchs L.
AU - Cichon M.
PY - 2024
SP - 394
EP - 401
DO - 10.5220/0012693500003702
PB - SciTePress