Speed advisories are used on highways to inform vehicles of upcoming changes in traffic
conditions and apply a variable speed limit to reduce traffic conflicts and delays. This study …

Abstract The proliferation of Connected Vehicles and their ability to collect a large amount of
data present an opportunity for real-time safety optimization of traffic networks. At …

Abstract The proliferation of Connected Vehicles and their ability to collect a large amount of
data presents an opportunity for the real-time safety optimization of traffic networks. At …

A new framework for route guidance, as part of a path decision support tool, for off-road
driving scenarios is presented in this paper. The algorithm accesses information gathered …

Efficient traffic safety management necessitates real‐time crash risk prediction using
expressway characteristics. With the emergence of autonomous vehicles (AVs), the …

Over the past few decades, numerous adaptive traffic signal control (ATSC) algorithms have
been proposed to alleviate traffic congestion and optimize traffic mobility using real-time …

The emergence and application of connected and automated vehicles (CAVs) have played
a positive role in improving the efficiency of urban transportation and achieving sustainable …

The intent of this paper is to develop a system that can integrate connected vehicle (CV)
data and traffic sensor information to concurrently address the need to improve urban …

The establishment of future intelligent transport systems is dependable on the reliable and
seamless function of Connected and Autonomous Vehicles (CAV). Reinforcement learning …

The concept of Connected and Automated Vehicles (CAVs) enables instant traffic
information to be shared among vehicle networks. With this newly proposed concept, a …