Precise vehicle state and the surrounding traffic information are essential for decision-
making and dynamic control of intelligent connected vehicles. Tremendous research efforts …

This study focuses on optimizing resource allocation problems in complex dynamic
environments, specifically vehicle dispatching in closed bipartite queuing networks. We …

Automated driving is essential for developing and deploying intelligent transportation
systems. However, unavoidable sensor noises or perception errors may cause an …

With the development of industrial automation comes an ever, broadening number of
application scenarios for manipulators along with increasing demands for their precise …

The key issues of automatic emergency braking (AEB) control algorithm are when and how
to brake. This article proposes an AEB control algorithm that integrates risk perception (RP) …

Platooning is a remarkable research direction in connected electric vehicles for improving
energy efficiency. This study proposes an energy-efficient predictive and reactive control …

Autonomous truck platoons hold the potential for substantial economic and environmental
advantages. However, there is a lack of comprehensive research on the interactions …

In the electronic brake system (EBS) of commercial vehicles, due to the compressibility of
gas, it is difficult to achieve accurate control in the pneumatic pipeline. To address this issue …

This work mainly focuses on fleet collaborative control for autonomous mining fleets. In this
paper, we first developed a double-layer coupling model including the intersection platoon …

Symbolically representing the knowledge acquired by a neural network is a profound
endeavor aimed at illuminating the latent information embedded within the network. The …