Connected autonomous vehicles are considered as mitigators of issues such as traffic
congestion, road safety, inefficient fuel consumption and pollutant emissions that current …

In the last few years, the number of papers devoted to applications of agent-based
technologies to traffic and transportation engineering has grown enormously. Thus, it seems …

The vision of the upcoming 6G technologies that have fast data rate, low latency, and ultra-
dense network, draws great attentions to the Internet of Vehicles (IoV) and Vehicle-to …

Intersection management is one of the most challenging problems within the transport
system. Traffic light-based methods have been efficient but are not able to deal with the …

This article presents a challenging multi-agent seasonal dataset collected by a fleet of Ford
autonomous vehicles (AVs) at different days and times during 2017–2018. The vehicles …

Artificial intelligence research is ushering in a new era of sophisticated, mass-market
transportation technology. While computers can already fly a passenger jet better than a …

Complex artificial dynamic systems require advanced modeling techniques that can
accommodate their asynchronous, concurrent, and highly non-linear nature. Discrete Event …

This study introduces a methodology for cooperative signal timing and trajectory
optimization at intersections with a mix of connected automated vehicles (CAVs) and human …

Reservation-based intersection controls, in which vehicles reserve space-time paths through
the intersection, have the potential to make greater use of intersection capacity than traffic …

Since the introduction of the vehicle infrastructure integration (VII) and connected vehicle
(CV) initiatives in the United States, numerous in-vehicle technologies based on wireless …