Energy consumption and driving safety of a vehicle are greatly influenced by the driving
behaviors of the vehicle in front (also termed the preceding vehicle). Inappropriate …

Connected and automated vehicles (CAVs) offer promising prospects for the future of
transportation. However, the longstanding dominance of human-driven vehicles (HDVs) in …

Abstract Model predictive control (MPC) has become a key tool for optimizing real-time
operations in industrial systems and processes, particularly to enhance performance, safety …

Energy storage and management technologies are key in the deployment and operation of
electric vehicles (EVs). To keep up with continuous innovations in energy storage …

Beyond platooning with pure connected and automated vehicles (CAVs), mixed platooning
with both CAVs and human-driven vehicles (HDVs) emerges as a practical formation pattern …

Electrified drive systems and eco-driving technologies play a crucial role in promoting
energy conservation. Eco-driving for hybrid electric vehicles (HEVs) is an intricate problem …

The sheer scale and diversity of transportation make it a formidable sector to decarbonize.
Here, we consider an emerging opportunity to reduce carbon emissions: the growing …

This paper presents a safe learning-based eco-driving framework tailored for mixed traffic
flows, which aims to optimize energy efficiency while guaranteeing safety during real-system …

The emerging connected and automated vehicle (CAV) technologies present opportunities
to improve traffic safety, economy, and efficiency. However, the diverse uncontrollable …

The effective control of connected and automated vehicles (CAVs) in mixed platoons offers
fresh opportunities to optimize the emerging mixed traffic flow environment in the future. The …