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Quantifying the automated vehicle safety performance: A scoping review of the literature, evaluation of methods, and directions for future research by Soheil Sohrabi; Ali Khodadadi; Seyedeh Maryam Mousavi; Bahar Dadashova; Dominique Lord is a Engineering article available to read on EtoBox.

What is Quantifying the automated vehicle safety performance: A scoping review of the literature, evaluation of methods, and directions for future research about?

Vehicle automation safety must be evaluated not only for market success but also for more informed decision-making about Automated Vehicles' (AVs) deployment and supporting policies and regulations to govern AVs' unintended consequences. This study is designed to identify the AV safety quantification studies, evaluate the quantification approaches used in the literature, and uncover the gaps and challenges in AV safety evaluation. We employed a scoping review methodology to identify the approaches used in the literature to quantify AV safety. After screening and reviewing the literature, six approaches were identified: target crash population, traffic simulation, driving simulator, road test data analysis, system failure risk assessment, and safety effectiveness estimation. We ran two evaluations on the identified approaches. First, we investigated each approach in terms of its input (required data, assumptions, etc.), output (safety evaluation metrics), and application (to estimate AVs' safety implications at the vehicle, transportation system, and society levels). Second, we qualitatively compared them in terms of three criteria: availability of input data, suitability for evalua

Who reads Quantifying the automated vehicle safety performance: A scoping review of the literature, evaluation of methods, and directions for future research?

It is typically read by researchers, students, and practitioners in Engineering.

Author
Soheil Sohrabi; Ali Khodadadi; Seyedeh Maryam Mousavi; Bahar Dadashova; Dominique Lord
Publisher
Elsevier BV
Published
2021
Language
EN
Field
Engineering (Physical Sciences)

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