Guidance and control (G&C) technologies play a central role in the development and
operation of vehicular systems. The emergence of computational guidance and control …

Cooperative trajectory planning of connected autonomous vehicles (CAVs) generally admits
strong nonlinearity and non-convexity, rendering great difficulties in finding the optimal …

This paper surveys recent multiagent reinforcement learning and neural Myerson auction
deep learning efforts to improve mobility control and resource management in autonomous …

The development of connected and automated vehicles (CAVs) is the key to improving
urban mobility safety and efficiency. This article focuses on cooperative vehicle …

This work addresses the ecological-adaptive cruise control problem for connected electric
vehicles by a computationally efficient robust control strategy. The problem is formulated in …

The instability of vehicle attitude and wheel slippage during turning on complex roads are
key factors affecting the operational efficiency and accuracy of a variable wheelbase six …

The recent advancement in vehicular networking technology provides novel solutions for
designing intelligent and sustainable vehicle motion controllers. This work addresses a car …

The advent connected and autonomous vehicle technologies have greatly improved traffic in
terms of energy efficiency and road safety. This paper addresses an ecological control …

Connected and autonomous vehicles (CAVs) are predicted to alleviate traffic congestion,
particularly at road intersections, which are the major bottleneck of the urban road network …

Signalized intersections play a pivotal role in urban traffic networks and are simultaneously
impacted by congestion and pollution. The rapid advancement of Connected Automated …