Scenario-Based Safety Assessment Framework for Automated Vehicles
J. Ploeg, E. de Gelder, M. Slav\'ik, E. Querner, T. Webster, N. de, Boer

TL;DR
This paper presents a scenario-based safety assessment framework for automated vehicles that combines functional safety principles with traffic scenario analysis to facilitate formal road approval in densely populated areas like Singapore.
Contribution
It introduces a novel AV safety assessment pipeline that integrates scenario decomposition, parametrization, and probabilistic sampling for efficient virtual and physical testing.
Findings
Provides statistically relevant safety measures through simulation
Enables rapid AV performance evaluation in diverse scenarios
Supports formal road approval processes for AVs in Singapore
Abstract
Automated vehicles (AVs) are expected to increase traffic safety and traffic efficiency, among others by enabling flexible mobility-on-demand systems. This is particularly important in Singapore, being one of the world's most densely populated countries, which is why the Singaporean authorities are currently actively facilitating the deployment of AVs. As a consequence, however, the need arises for a formal AV road approval procedure. To this end, a safety assessment framework is proposed, which combines aspects of the standardized functional safety design methodology with a traffic scenario-based approach. The latter involves using driving data to extract AV-relevant traffic scenarios. The underlying approach is based on decomposition of scenarios into elementary events, subsequent scenario parametrization, and sampling of the estimated probability density functions of the scenario…
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Taxonomy
TopicsAutonomous Vehicle Technology and Safety · Traffic control and management · Traffic and Road Safety
