Fully controllable autonomous vehicles offer unprecedented opportunities to address the
inefficiency associated with selfish routing, a fundamental issue in transportation network …

Routing controllability of connected and autonomous vehicles (CAVs) has been shown to
reduce the adverse effects of selfish routing on the network efficiency. However, the …

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

In this article, we propose a macroscopic model for studying routing on networks shared
between human-driven and autonomous vehicles that captures the effects of autonomous …

Transportation infrastructure is entering a stage of mixed use whereby vehicles are capable
of varying levels of autonomy, and investigating the potential benefits of this mixed …

In a traffic network, vehicles normally select their routes selfishly. Consequently, traffic
networks normally operate at an equilibrium characterized by Wardrop conditions. However …

Selfish routing, represented by the User-Equilibrium (UE) model, is known to be inefficient
when compared to the System Optimum (SO) model. However, there is currently little …

Among the many functions a smart city must support, transportation dominates in terms of
resource consumption, strain on the environment, and frustration of its citizens. We study …

It is known that connected and autonomous vehicles are capable of maintaining shorter
headway and distances when they form platoons of vehicles. Thus, such technologies can …

Traffic congestion has large economic and social costs. The introduction of autonomous
vehicles can potentially reduce this congestion by increasing road capacity via vehicle …