The development of highly automated vehicles requires a careful analysis of all arising risks. These risks can be categorized into three groups: risks through (1) a malfunctioning system, (2) a failing interaction between the automated driving system and the human driver, and (3) an unexpected automated vehicle behavior. This work focuses on category (3) – the risks arising when the automated vehicle behaves differently to common human driving. A method is developed to identify and analyze risks of automated driving that are caused through this discrepancy. The derived method is based on the hazard analysis and risk assessment as part of the safety determination in ISO26262. Instead of the widely used FMEA and HAZOP assessment methods, it is based on the STPA (System-Theoretic Process Analysis). This method is used for the underlying causality model and it is extended by two aspects to meet the specific requirements: (1) the driving scenarios and (2) the driving expectations of human road users. With the newly created method, hazardous control actions of the automated vehicle in different scenarios can be systematically determined.


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    Title :

    Methodological Approach to Identify Automation Risks of Highly Automated Vehicles Using STPA


    Contributors:

    Publication date :

    2019-07-15


    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    629 / 620




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