The advent of autonomous driving technologies has created a crucial need for upgrading
conventional traffic control and lane management strategies in large cities. In this research …

With the emergence of autonomous ground vehicles and the recent advancements in
Intelligent Transportation Systems, Autonomous Traffic Management has garnered more …

This study investigates the effects of the “white phase” on the performance of isolated
signalized intersections. During the white phase, connected automated vehicles (CAV) …

Existing fixed-time traffic signal optimization methods mainly use traffic volumes collected by
infrastructure-based detectors (eg, loop detectors). These infrastructure-based detectors …

This paper investigates the collaborative control of vehicular traffic for a signal-free
intersection. The traffic under consideration is mixed with connected autonomous vehicles …

Autonomous intersection management has become a state-of-the-art control strategy
customized for connected and autonomous vehicles. Combining the advantages of tile …

The use of signal control systems to reduce traffic movement conflicts at intersections often
affects operational efficiency of an urban street network. This study introduces a new method …

Connected and automated vehicles (CAVs) trajectories not only provide more real‐time
information by vehicles to infrastructure but also can be controlled and optimized, to further …

This paper develops a distributed cooperative control logic to determine conflict-free
trajectories for connected and automated vehicles (CAVs) in signal-free intersections. The …

This paper proposes a cooperative scheduling mechanism for autonomous vehicles passing
through an intersection, called TP-AIM. The main objective of this research is to ensure safe …