Safety benfit assessment, vehicle trial safety and crash analysis of automated driving : a Systems Theoretic approach

Abstract : As automakers develop automated driving systems, they must address the implications of such systems on road safety. Notably for the safety benefit assessment, trial safety and accident analysis. However, the existing conceptual framework in road safety may not be adapted to analyze the changes and new interactions introduced by vehicle automation at all the levels of the road transport sociotechnical system.The main objective of this thesis is to apply a systems theoretic approach based on STAMP to examine the safety benefit assessment, trial safety and accident analysis of automated driving across all the levels of the road transport sociotechnical system.This research first contributes to safety benefit assessment by estimating the target population of a highway pilot system and by generating questions derived from an STPA analysis (hazard analysis based on STAMP) to facilitate the evaluation of the influence of the highway pilot system on road safety.Next, this work establishes a framework to ensure trial safety across the macroscopic and microscopic levels of the vehicle trial system by structuring the outputs of two STPA analyses.Finally, this thesis integrates elements from existing crash analysis methods and newly developed guidance elements into CAST (an accident analysis method based on STAMP) to develop a new method for the accident analysis of crashes involving automated driving called CASCAD. The application of CASCAD was illustrated using the available information of the Tesla crash on May 2016.The three applications of this research show the potential of a STAMP-based approach to provide a suitable conceptual framework for the analysis of the implications of road safety on automated driving.
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Stephanie Alvarez. Safety benfit assessment, vehicle trial safety and crash analysis of automated driving : a Systems Theoretic approach. Business administration. PSL Research University, 2017. English. ⟨NNT : 2017PSLEM006⟩. ⟨tel-01767563⟩

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