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.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

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


    Beteiligte:
    Stefan Babisch (Autor:in) / Christian Neurohr (Autor:in) / Lukas Westhofen (Autor:in) / Stefan Schoenawa (Autor:in) / Henrik Liers (Autor:in)


    Erscheinungsdatum :

    2023




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




    Automated crash computation of passenger car accidents based on the GIDAS database

    Wagner,M. / Hannawald,L. / Liers,H. et al. | Kraftfahrwesen | 2014


    Automated crash computation of passenger car accidents based on the GIDAS database

    Wagner, Michael / Hannawald, Lars / Liers, Henrik | ELBA - Bundesanstalt für Straßenwesen (BASt) | 2015

    Freier Zugriff

    Automated crash computation of passenger car accidents based on the GIDAS database

    Wagner,M. / Hannawald,L. / Liers,H. et al. | Kraftfahrwesen | 2014


    Das Unfallforschungsprojekt GIDAS - Aufgaben, Arbeitsweise, Ergebnisse

    Brunner,H. / Hannawald,L. / Tech.Univ.Dresden,DE | Kraftfahrwesen | 2012


    Hochrechnung von Gidas auf das Unfallgeschehen in Deutschland

    Kreiß, Jens-Peter / Feng, Gang / Krampe, Jonas et al. | TIBKAT | 2015

    Freier Zugriff