Traffic congestion has been persistently growing in the US from 1982 to 2020 since road
capacity has not grown at the same pace as the population in urban areas. In 2019, traffic …

Over the last decades, there has been a significant amount of research dedicated to
automated driving, resulting in substantial progress in handling complex situations. This …

Currently autonomous or self-driving vehicles are at the heart of academia and industry
research because of its multi-faceted advantages that includes improved safety, reduced …

Autonomous driving is the metaphorical modern day space race, in the sense that it is an
immensely challenging task that spans numerous domains. Successful self-driving systems …

Numerical experiments for motion planning of road vehicles require numerous components:
vehicle dynamics, a road network, static obstacles, dynamic obstacles and their movement …

The needs for personal travel and shipping freight keep increasing in our modern society. As
a result, the size of our transportation networks is rapidly increasing, and the number of …

Autonomy and connectivity are expected to enhance safety and improve fuel efficiency in
transportation systems. While connected vehicle-enabled technologies, such as coordinated …

Motion planning is essential for an autonomous vehicle to perform safe and human-like
driving behaviors, especially in highly dynamic scenarios such as dense urban and highway …

We propose a motion planning method for automated vehicles (AVs) to complete driving
tasks in dynamic traffic scenes. The proposed method aims to generate motion trajectories …

The rapidly evolving field of autonomous vehicle (AV) technology necessitates an in-depth
understanding of real-time trajectory planning methods to ensure safety, efficiency, and user …