Traffic accidents are a nationwide public health concern, but autonomous vehicles (AVs)
have the potential to significantly reduce accident severity and frequency by eliminating their …

Abstract Autonomous Vehicles (AVs) are being promoted as an emerging technology with
the potential to improve traffic efficiency and safety. However, the scarcity of publicly …

Automated driving systems (ADS) have gained sizable attention over the last decade,
promising safer, cheaper, and more accessible transportation. However, the discourse …

Despite the recent advancements that Autonomous Vehicles have shown in their potential to
improve safety and operation, considering differences between Autonomous Vehicles and …

Abstract Vulnerable Road User's (VRUs) invisibility by vehicle drivers hasn't been well
explored despite having a substantial influence on crash involvement and resulting severity …

Traffic accidents are a national public health crisis that result in multiple injuries and
fatalities. Conventional vehicle crashes are largely attributed to human errors, but …

The objective of this study is to explore the contributing risky factors to Autonomous Vehicle
(AV) crashes and their interdependencies. AV crash data between 2015 and 2023 were …

With the accelerated integration of connected and autonomous vehicles (CAVs) into
transportation systems, such vehicles have evolved rapidly. Emerging studies have focused …

It is well understood that most crashes are the result of human errors. Among human-related
errors, distracted driving, particularly related to cellphones, has received significant …

Precrash scenario analysis for autonomous vehicles (AVs) is critical for improving the safety
of autonomous driving, yet the scenario differences between different driving modes are …