Connected and automated vehicles (CAV) are marketed for their increased safety, driving
comfort, and time saving potential. With much easier access to information, increased …

Vehicles on the road with some common interests can cooperatively form a platoon-based
driving pattern, in which a vehicle follows another vehicle and maintains a small and nearly …

Connected and automated vehicles (CAVs) have the potential to address a number of
safety, mobility, and sustainability issues of our current transportation systems. Cooperative …

Vehicle driving patterns greatly impact the sustainability of the transportation system. Based
on V2X communication, the ecological cooperative adaptive cruise control (Eco-CACC) is …

Vehicle longitudinal control systems such as (commercially available) autonomous Adaptive
Cruise Control (ACC) and its more sophisticated variant Cooperative ACC (CACC) could …

Intelligent vehicle cooperation based on reliable communication systems contributes not
only to reducing traffic accidents but also to improving traffic flow. Adaptive cruise control …

This study compares Deep Reinforcement Learning (DRL) and Model Predictive Control
(MPC) for Adaptive Cruise Control (ACC) design in car-following scenarios. A first-order …

Intelligence in vehicles has developed through the years as self-driving expectations and
capabilities have increased. To date, the majority of the literature has focused on …

This paper presents the vision of the Artificial Vision and Intelligent Systems Laboratory
(VisLab) on future automated vehicles, ranging from sensor selection up to their extensive …

In this paper, we present a mathematical model and adaptive controller for an autonomous
vehicle overtaking maneuver. We consider the problem of an autonomous three-phase …