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Leveraging the GIDAS Database for the Criticality Analysis of Automated Driving Systems

Babisch, Stefan and Neurohr, Christian and Westhofen, Lukas and Schoenawa, Stefan and Liers, Henrik (2023) Leveraging the GIDAS Database for the Criticality Analysis of Automated Driving Systems. Journal of Advanced Transportation. Hindawi-Wiley. doi: 10.1155/2023/1349269. ISSN 0197-6729.

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Official URL: https://www.hindawi.com/journals/jat/2023/1349269/


A safe introduction of automated driving systems on urban roads requires a thorough understanding of the traffic conflicts and accidents. This understanding is paramount to constructively safeguard these systems, i.e., to design a system that exhibits an adequate performance even in critical situations. In this work, we present an approach to gather knowledge by analyzing the German In-Depth Accident Study (GIDAS) database, which is representative of all German traffic accidents, along with the influencing factors that are hypothesized to be associated with increased criticality in relation to automated driving. In order to gain an insight into the risk associated with these factors in real-world accidents, we determine their presence in the database’s accident cases within a selected operational domain, enabled by translation from a natural language description to the database scheme employed by GIDAS. This initial catalog as well as the subsequent statistical considerations is motivated by analyzing the criticality for automated driving systems in urban areas. Based on this catalog, our work delineates a method for quantification of risk associated with such influencing factors in a given operational domain based on real-world accident data. This quantification can subsequently be used in decompositional, scenario-based risk assessment before system design and for the embedding safety argumentation. This paper, therefore, provides a blueprint of how the matured field of traffic accident research studies and its results, in particular accident databases, can be leveraged for risk assessment of the operational domain of automated driving systems.

Item URL in elib:https://elib.dlr.de/195028/
Document Type:Article
Title:Leveraging the GIDAS Database for the Criticality Analysis of Automated Driving Systems
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Neurohr, ChristianUNSPECIFIEDhttps://orcid.org/0000-0001-8847-5147UNSPECIFIED
Westhofen, LukasUNSPECIFIEDhttps://orcid.org/0000-0003-1065-4182UNSPECIFIED
Date:8 May 2023
Journal or Publication Title:Journal of Advanced Transportation
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In ISI Web of Science:Yes
Keywords:Traffic Accidents, Database Analysis, Automated Driving System, Criticality Analysis, Verification and Validation
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:other
DLR - Research area:Transport
DLR - Program:V - no assignment
DLR - Research theme (Project):V - no assignment
Location: Oldenburg
Institutes and Institutions:Institute of Systems Engineering for Future Mobility > Systems Theory and Design
Deposited By: Neurohr, Dr. Christian
Deposited On:09 May 2023 15:24
Last Modified:09 May 2023 15:24

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