In partially automated and conditionally automated vehicles, a part of the work of human drivers is replaced by the system, and the main source of safety risks is no longer system failures, but non-failure risks caused by insufficient system function design. The absence of unreasonable risk due to hazards resulting from functional insufficiencies of the intended functionality or by reasonably foreseeable misuse by persons, is referred to as the Safety Of The Intended Functionality. Drivers have the responsibility to supervise the automated driving system. When they don't agree with the operation behavior of the system, they will interfere with the instructions. However, this may lead to potential risks. In order to discover the causes of human misuse, this paper takes the trust feeling between the driver and the automated driving system as the starting point, and based on the collected data of track test, establishes the evaluation indicator -- degree of confidence to show the trust feeling between the driver and the automated system. Degree of confidence is a comprehensive interpretation of the driver's physical and psychological feelings. In the process of track test, we simultaneously collect the dynamics indicators of the vehicle. After the test, the drivers' driving feeling was evaluated by questionnaire. Then, the relationship between objective indicator and subjective score was established by machine learning method, and the development of evaluation indicator was completed. Finally, this paper optimizes the automatic driving motion planning algorithm based on this indicator, and verifies the effectiveness of the algorithm through simulation.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Control Model of Automated Driving Systems Based on SOTIF Evaluation


    Weitere Titelangaben:

    Sae Int. J. Adv. and Curr. Prac. in Mobility


    Beteiligte:
    Haifeng, Cui (Autor:in) / Yu, Fan (Autor:in) / Zhang, Kaijiong (Autor:in) / Guo, Mengge (Autor:in) / Shang, Shiliang (Autor:in) / Deng, Weishun (Autor:in) / Zhang, Xi (Autor:in)

    Kongress:

    WCX SAE World Congress Experience ; 2020



    Erscheinungsdatum :

    2020-04-14


    Format / Umfang :

    7 pages




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch





    On Quantification for SOTIF Validation of Automated Driving Systems

    Putze, Lina / Westhofen, Lukas / Koopmann, Tjark et al. | IEEE | 2023


    Das SOTIF-Vorgehensmodell

    Schnieder, Lars / Hosse, René S. | Springer Verlag | 2019


    Das SOTIF-Vorgehensmodell

    Schnieder, Lars / Hosse, René S. | Springer Verlag | 2020


    Integrating SOTIF and Agile Systems Engineering

    Davey, Christopher K. / Post, Kyle | SAE Technical Papers | 2019