Abstract The Driver Behavior Questionnaire (DBQ), which is rooted in Human Factors, is a
common tool used in the context of driving behavior. However, it does not consider driver …

Rapid advancements in automated vehicles (AVs) technology have transformed the
measurability, controllability, and unpredictability of transportation systems. Evaluating …

The driving safety at signalized road intersections is a critical issue for intelligent and
connected vehicles (ICVs). Vehicle-following driving scenarios are common conditions at …

The decision of whether to cross a road or wait for a car to pass, humans make frequently
and effortlessly. Recently, the application of drift-diffusion models (DDMs) on pedestrians' …

The intricate interactions with other road users and the diversity of traffic environments
create a challenging decision-making task for autonomous driving systems. While offline …

User adoption and technological advances are crucial for the widespread implementation of
Autonomous Vehicles (AVs) in the existing transportation system. This study focuses on user …

Visual Simultaneous Localization and Mapping (SLAM) in dynamic scenes is a prerequisite
for robot-related applications. Most of the existing SLAM algorithms mainly focus on dynamic …

Autonomous lane-change, a key feature of advanced driver-assistance systems, can
enhance traffic efficiency and reduce the incidence of accidents. However, safe driving of …

With the rapid development in recent years, the autonomous driving system comes to the
stage of commercial deployment now. However, it is not well accepted by society. This is …

In the field of autonomous driving, even a meticulously trained model can encounter failures
when faced with unfamiliar sceanrios. One of these scenarios can be formulated as an …