Accurately modelling crashes, and predicting crash occurrence and associated severities
are a prerequisite for devising countermeasures and developing effective road safety …

As the market penetration rate of automated vehicles (AVs) increases, there will be a
transition period when the traffic stream is composed of both AVs and human-driven …

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 widely tested on public roads in several
countries such as the USA, Canada, France, Germany, and Australia. For the transparent …

Disengagement cases during naturalistic driving are rare or even one-shot, but valuable for
autonomous driving. The autonomous vehicles are necessary to continually learn from these …

A safe introduction of automated driving systems on urban roads requires a thorough
understanding of the traffic conflicts and accidents. This understanding is paramount to …

This study aims to estimate the severity of conflicts that may arise from the introduction of
connected and automated vehicles (CAVs) by examining the vehicle paths generated by …

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

Automated vehicles (AVs) are expected to improve safety by gradually reducing human
decisions while driving. However, there are still questions on their effectiveness as we …

Safety and mission performance validation of autonomous vehicles (AVs) is a major
challenge. In this paper we describe a methodology for constructing and applying assertion …