Identifying the risks associated with automated vehicles across the system lifecycle
Submission Date: 2019
Advanced automated vehicles (AVs) are expected to enter the Australian road transport system imminently. This study aimed to conduct an initial proof of concept study to identify risks across the entire AV system lifecycle. The Networked-Hazard Analysis and Risk Management System method (NET-HARMS), a recently developed approach for systemic risk identification, was applied. The results map out the lifecycle for AVs, and identify a set of task and emergent risks, and concomitant risk control measures. The findings can assist to support road transport stakeholders to understand the systemic risks associated with the introduction of advanced AVs.