The inevitable impact of autonomous vehicles (AV) on traffic safety is becoming a reality with
the progressive deployment of these vehicles in different parts of the world. Still, many …

The development of autonomous driving technology will lead to a transition period during
which human-driven vehicles (HVs) will share the road with autonomous vehicles (AVs) …

Human drivers can have diverse car-following behaviors when interacting with connected
and automated vehicles (CAVs) and other human-driven vehicles in mixed traffic where …

During the transition period, the interactions between human-driven vehicles (HVs) and
autonomous vehicles (AVs), especially the car-following behaviors, need to be analyzed …

With the rapid development of autonomous driving technology, both self-driven and human-
driven vehicles will share roads in the future and complex information exchange among …

Autonomous Vehicle (AV) technology is advancing rapidly, promising a significant shift in
road transportation safety and potentially resolving various complex transportation issues …

The present study proposes a framework for learning the car‐following behavior of drivers
based on maximum entropy deep inverse reinforcement learning. The proposed framework …

With the integration of Autonomous Vehicles (AVs) into our transportation systems, their
harmonious coexistence with Human-driven Vehicles (HVs) in mixed traffic settings …

Microsimulation models are effective for analysing road users' interaction behaviour and
assessing different facilities' performance. However, only a few studies have developed …

This study aims to conduct a thorough assessment of pedestrian and cyclist safety in
autonomous vehicle (AV) environments. To that end, the study utilized AV sensor data of …