The penetration rate of automated vehicles (AVs) will remain unsaturated for a long period,
leading to the coexistence of AVs and human-driven vehicles (HDVs), namely, mixed …

This paper proposes a surrogate-driven multi-objective predictive control (SMPC) strategy to
address the dynamics uncertainty and multi-objective optimization issues of electric …

The penetration rate of automated vehicles (AVs) may remain unsaturated for a long time,
resulting in the coexistence of AVs and human-driven vehicles (HDVs). The non-ideal …

Vehicle safety, passenger comfort, formation control, and fuel economy are the major
objectives in the cooperative adaptive cruise control of intelligent vehicles. However, almost …

Platoon-based vehicular cyber-physical systems have gained increasing attention due to
their potentials in improving traffic efficiency, capacity, and saving energy. However, external …

This paper studies the cooperative control problem of a mixed vehicle platoon, which is
composed of connected autonomous vehicles (CAVs) and human‐driven vehicles (HDVs) in …

Connected and automated vehicles have attracted more and more attention, given the
benefits in safety and efficiency. This research proposes a novel model predictive control …

In this paper, a distributed model predictive control (DMPC) algorithm for a platoon of
heterogeneous vehicles is proposed. The leading vehicle is allowed to be driven by a non …

This paper proposes a driver-centric data-driven model predictive control (DDMPC) strategy
to improve driving comfort while maintaining driving safety of vehicular platoon. This strategy …

This paper considers the multi-objective platooning control problem of a group of connected
and automated vehicles (CAVs) with bidirectional topologies. A new distributed economic …