A Review of Factors Affecting Severity of Autonomous Vehicle Crashes

Most of the researchers who have explored the factors that affect the severity of crashes involving autonomous vehicles (AVs) by analyzing the data made available by the California Department of Motor Vehicles (CA DMV) have done so in general terms. A comprehensive investigation is lacking in the literature, and the purpose of this study is to remedy that by examining accidents and resulting injuries, if any, that involved at least one AV and identifying and categorizing the factors that affected the severity of the crashes. Strategies for addressing challenges such as public acceptance and unavoidable accidents are also suggested. The findings support the frequently touted belief that AVs improve traffic safety and show that they are not responsible for most of the collisions in which they are involved. This study will benefit AV manufacturers and policymakers by providing them with a better understanding of AV crashes and recommending strategies that can help manage the challenges of AVs.