The integration of artificial intelligence and wireless communication technologies in
communicant autonomous vehicles (CAVs) enables coordinating the movement of CAV …

Integration of artificial intelligence and wireless communication technologies in Connected
Automated Vehicles (CAVs) enables coordinating the movement of the platoons of CAVs at …

Recent advances in artificial intelligence and wireless communication technologies have
created great potential to reduce congestion in urban networks. In this research, we develop …

Earlier work has established a decentralized framework of optimally controlling connected
and automated vehicles (CAVs) crossing an urban intersection without using explicit traffic …

This study proposes an optimal control method for connected autonomous vehicles (CAVs)
through signalized intersections to reduce the energy consumption of mixed human-driven …

Signalized intersections play a pivotal role in urban traffic networks and are simultaneously
impacted by congestion and pollution. The rapid advancement of Connected Automated …

A signal design problem is studied for efficiently managing autonomous vehicles (AVs) and
regular vehicles (RVs) simultaneously in transportation networks. AVs and RVs move on …

Connected and automated vehicles (CAVs) provide the most intriguing opportunity to
optimize energy consumption and travel time. Several approaches have been proposed in …

Connected and automated vehicles (CAV) are marketed for their increased safety, driving
comfort, and time saving potential. With much easier access to information, increased …

Optimizing the trajectory of connected automated vehicles (CAVs) through cooperation with
signal controllers can smoothen the traffic flow and reduce energy consumption. However …