This paper reviews current AI solutions towards road traffic congestion alleviation. Three
specific AI technologies are discussed,(1) intersection management protocols for …

Although mixed traffic, including both autonomous vehicles (AV) and human-driven vehicles
(HV), is expected to prevail in the foreseeable future, our current understanding of the …

In the future, when traffic streams comprise a mix of conventional and automated vehicles
(AVs), AVs may be employed as mobile actuators to regulate or manage traffic flow across …

A Stackelberg congestion game (SCG) is a bilevel program in which a leader aims to
maximize their own gain by anticipating and manipulating the equilibrium state at which …

Connected and automated vehicle technologies provide an opportunity for a more efficient
distribution of traffic in urban networks through cooperative routing behavior. Controlling the …

In recent years, as automated vehicle (AV) technologies are advancing at a breathtaking
pace, path controlling has engaged increasing attentions among transportation researchers …

The emerging connected autonomous vehicle (CAV) technology offers a significant
opportunity to address the congestion problem caused by the selfish routing behavior of …

Current methods for autonomous management use strict first-come, first-serve (FCFS)
ordering to manage incoming autonomous vehicles at an intersection. In this work, we …

Abstract Information perturbation is an information provision strategy which strategically
alters the traffic information sent to drivers, aiming to mitigate network congestion caused by …

Connected technologies have engendered a paradigm shift in mobility systems by enabling
digital platforms to coordinate large sets of vehicles in real time. Recent research has …