Abstract Model-based predictive control (MPC) describes a set of advanced control
methods, which make use of a process model to predict the future behavior of the controlled …

In this paper, the potential effects of automated driving that are relevant to policy and society
are explored, findings discussed in literature about those effects are reviewed and areas for …

Safety critical systems involve the tight coupling between potentially conflicting control
objectives and safety constraints. As a means of creating a formal framework for controlling …

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

This paper develops a control methodology that unifies control barrier functions and control
Lyapunov functions through quadratic programs. The result is demonstrated on adaptive …

In addition to decentralized controllers, the information flow among vehicles can significantly
affect the dynamics of a platoon. This paper studies the influence of information flow …

This paper presents a distributed model predictive control (DMPC) algorithm for
heterogeneous vehicle platoons with unidirectional topologies and a priori unknown desired …

Autonomous vehicle (AV) technology can provide a safe and convenient transportation
solution for the public, but the complex and various environments in the real world make it …

A model used for velocity control during car following is proposed based on reinforcement
learning (RL). To optimize driving performance, a reward function is developed by …

This study seeks to develop a cooperative platoon control for a platoon mixed with
connected and autonomous vehicles (CAVs) and human-drive vehicles (HDVs), aiming to …