Connected and automated vehicles (CAVs), in the context of cooperative intelligent
transportation systems (C-ITS), are capable of exchanging information with each other and …

Sooner than expected, roads will be populated with a plethora of connected and
autonomous vehicles serving diverse mobility needs. Rather than being stand-alone …

In this paper we present a model-predictive control (MPC) based approach for vehicle
platooning in an urban traffic setting. Our primary goal is to demonstrate that vehicle …

Platooning of connected and autonomous vehicles (CAVs) has a significant potential for
throughput improvement. However, the interaction between CAVs and non-CAVs may limit …

This paper studies the value of communicated motion predictions in the longitudinal control
of connected automated vehicles (CAVs). We focus on a safe cooperative adaptive cruise …

With the growing development of Cooperative, Connected, and Automated Mobility (CCAM),
questions arise about the real impact of this innovative mobility on our daily life. CCAM …

In this paper, we present a model predictive control (MPC) approach for the control of an
autonomous vehicle following a lead vehicle tracked by onboard sensors. Based on the lead …

Combined powertrain and velocity optimization can achieve significant energy efficiency
improvements. However, due to the multitime scales in the system, the optimization is …

Connected and autonomous vehicles (CAVs) have the ability to use information obtained via
vehicle-to-infrastructure (V2I), vehicle-to-vehicle (V2V) communication, and sensors to …

Recently, autonomous vehicles using artificial intelligence have been attracting attention.
Beyond the autonomous driving, research about platooning is being carried out to achieve …