Conceptual Approaches to Identify the Hazardous Scenarios in Safety Analysis for Automated Driving Systems

Marzana Khatun, Florence Wagner, Rolf Jung, Michael Glass

2025

Abstract

To ensure safety of the road users is one of the major challenges in highly automated driving. The technologies applied in semi or fully-automated vehicles that are safer than human drivers compromise functionalities and human comfort. A comprehensive understanding of the use of complex driving systems and the Operational Design Domain (ODD) is essential for the effective deployment and safe operation of Automated Driving Systems (ADSs). Hazard analysis is a foundation of various safety engineering methods, which include Functional Safety (FuSa) and Safety Of The Intended Functionality (SOTIF). The scenario-based analysis offers significant advantages in the safety analysis of automated vehicles but poses inherent difficulties in identifying unknown-hazardous scenarios. The work presented in this paper deals with the conceptual approaches of hazard scenario identification. Moreover, discusses the incorporation of Machine Learning (ML) in Hazard Analysis and Risk Assessment (HARA) for vehicles equipped with ADSs. Furthermore, this paper can serve as foundation support for research inquiries related to ADSs validation and safety assessment.

Paper Citation

in Harvard Style

Khatun M., Wagner F., Jung R. and Glass M. (2025). Conceptual Approaches to Identify the Hazardous Scenarios in Safety Analysis for Automated Driving Systems. In Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART; ISBN 978-989-758-737-5, SciTePress, pages 549-555. DOI: 10.5220/0013250900003890

in Bibtex Style

@conference{icaart25,
author={Marzana Khatun and Florence Wagner and Rolf Jung and Michael Glass},
title={Conceptual Approaches to Identify the Hazardous Scenarios in Safety Analysis for Automated Driving Systems},
booktitle={Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART},
year={2025},
pages={549-555},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013250900003890},
isbn={978-989-758-737-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART
TI - Conceptual Approaches to Identify the Hazardous Scenarios in Safety Analysis for Automated Driving Systems
SN - 978-989-758-737-5
AU - Khatun M.
AU - Wagner F.
AU - Jung R.
AU - Glass M.
PY - 2025
SP - 549
EP - 555
DO - 10.5220/0013250900003890
PB - SciTePress