Automated vehicle crash sequences: Patterns and potential uses in safety testing

نویسندگان

چکیده

With safety being one of the primary motivations for developing automated vehicles (AVs), extensive field and simulation tests are carried out to ensure AVs can operate safely on roadways. Since 2014, California DMV has been collecting AV collision disengagement reports, which valuable data sources studying crash patterns. In this study, sequence extracted from reports were used investigate patterns how they may be develop test scenarios. Employing analysis, study evaluated 168 crashes (with in automatic driving mode before or collision) 2015 2019. Analysis subsequences showed that most representative pattern was (collision following stop) type. event transition disengagement, as an 24 percent all studied sequences, had a probability 68 immediate collision. Cluster analysis characterized sequences into seven groups with distinctive dynamic features. Cross-tabulation significantly associated variables measuring outcomes describing environmental conditions. Crash useful Based findings, scenario-based testing framework proposed events embedded core component.

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ژورنال

عنوان ژورنال: Accident Analysis & Prevention

سال: 2021

ISSN: ['1879-2057', '0001-4575']

DOI: https://doi.org/10.1016/j.aap.2021.106017