One of the main challenges autonomous vehicles (AVs) will face is interacting with
pedestrians, especially at unmarked midblock locations where the right-of-way is …

Risk assessment is important for intelligent vehicles to make safe driving decisions. In some
researches, the risk is modeled as the effect of each environment element on the ego …

As autonomous vehicles (AVs) advance from theory into practice, their safety and
operational impacts are being more closely studied. This study aims to contribute to the ever …

This dissertation focuses on the challenge of pedestrian interaction with autonomous
vehicles (AVs) at unmarked midblock locations where the right-of-way is unspecified. A …

This study focuses on the potential of connected and automated vehicles (CAVs) to enhance
road traffic safety through the provision of rich physical motion state information. Real‐time …

In recent years, Autonomous Vehicle Networks (AVNs) have gained significant attention for
their potential to make transportation safer and more efficient. These networks rely on …

In the era of the transportation revolution, the emergence of Autonomous Vehicle Networks
(AVNs) represents a remarkable feat of technological sophistication. It embodies a …

The on-ramp merging driving scenario is challenging for achieving the highest-level
autonomous driving. Current research using reinforcement learning methods to address the …