Traffic accidents are one main cause of human fatalities in modern society. With the fast
development of connected and autonomous vehicles (CAVs), there comes both challenges …

Rapid advances in technology for highly automated vehicles (HAVs) have raised concerns
about coexistence of HAVs and human road users. Although there is a long tradition of …

Data-based research approaches to generate crash scenarios have mainly relied on
conventional vehicle crashes and naturalistic driving data, and have not considered …

Autonomous or automated vehicles (AVs) have the potential to improve traffic safety by
eliminating majority of human errors. As the interest in AV deployment increases, there is an …

Autonomous vehicles (AVs) are emerging in the automobile industry with potential benefits
to reduce traffic congestion, improve mobility and accessibility, as well as safety. According …

In China, vehicles with L2 driving automation are already widespread, while L3-L5
automated vehicles (AVs) are not allowed on the road. Surprisingly, crashes involving …

Data-driven frameworks for analyzing aviation safety data have recently gained traction. Text-
based machine learning techniques often rely purely on word frequency analysis to …

With safety being one of the primary motivations for develo** automated vehicles (AVs),
extensive field and simulation tests are being carried out to ensure AVs can operate safely …

Safety is one of the most essential considerations when evaluating the performance of
autonomous vehicles (AVs). Real-world AV data, including trajectory, detection, and crash …

Autonomous vehicles (AVs) have the potential to lower the number of vehicular crashes, as
research has shown that most collisions are caused by driver error. Consequently, several …