Advanced Driver-Assistance Systems (ADASs) are currently gaining particular attention in
the automotive field, as enablers for vehicle energy consumption, safety, and comfort …

Improper handling of on-ramp merging may cause severe decrease of traffic efficiency and
contribute to lower fuel economy, even increasing the collision risk. Cooperative control for …

Vehicle merging is one of the main causes of reduced traffic efficiency, increased risk of
collision, and fuel consumption. Connected and automated vehicles (CAVs) can improve …

Connected automated vehicles (CAVs) have shown great potential in improving traffic
throughput and stability. Although various longitudinal control strategies have been …

The impact of Vehicle-to-Everything (V2X) communications on platoon control performance
is investigated. Platoon control is essentially a sequential stochastic decision problem …

Autonomous vehicles in a platoon determine the control inputs based on the system state
information collected and shared by the Internet of Things (IoT) devices. Deep reinforcement …

Connected and autonomous vehicles (CAVs) promise next-gen transportation systems with
enhanced safety, energy efficiency, and sustainability. One typical control strategy for CAVs …

Vehicle platooning gains its popularity in improving traffic capacity, safety and fuel saving.
The key requirements of an effective platooning strategy include kee** a safe inter-vehicle …

Public concerns about energy crisis and environmental issues lead to higher fuel economy
standards and more stringent limitations on greenhouse gas emissions for ground vehicles …

This paper proposes a model-based deep reinforcement learning (DRL) algorithm for
cooperative adaptive cruise control (CACC) of connected vehicles. Differing from most …