We study the problem of routing Connected and Automated Vehicles (CAVs) in the presence
of mixed traffic (coexistence of regular vehicles and CAVs). In this setting, we assume that all …

Autonomous intersection management (AIM) refers to planning the trajectories for multiple
connected and automated vehicles (CAVs) when they traverse an unsignalized intersection …

The improvement of traffic efficiency at urban intersections receives strong research interest
in the field of automated intersection management. So far, mostly non-learning algorithms …

Autonomous intersection management (AIM) has been widely investigated over the past two
decades as a solution for signal-free intersections in a fully connected and autonomous …

This paper proposes a trajectory planner for multilane roundabouts. The goal is to enhance
the existing roundabout in terms of capacity with the help of connected automation. The …

This paper considers the problem of coordinating vehicular traffic at an intersection and on
the branches leading to it in order to minimize a combination of total travel time and energy …

A longitudinal fuel-optimal speed trajectory has been found to be a control sequence of four
possible modes: maximum acceleration, constant speed cruising, coasting, and maximum …

We consider an intersection zone where autonomous vehicles (AVs) and human-driven
vehicles (HDVs) can be simulteneously present. As a new vehicle arrives, the traffic …

This paper is devoted to the development of an optimal acceleration/speed profile for
autonomous vehicles in free flow mode approaching a traffic light without stopping. The …

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