We propose a novel vehicle platoon collaborative control algorithm based on deep
reinforcement learning. Aiming at the slow convergence speed of traditional reinforcement …

The combination of reinforcement learning and platooning control has been widely studied,
which has been considered to be altruistic on the basis of safety. However, the platooning …

With the development of automatic driving technology and the Internet of Vehicles,
platooning based on control of Connected and Autonomous Vehicles (CAVs) has become …

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 …

Longitudinal following control is the fundamental component of vehicle platoon control.
Although cooperation of vehicles helps to improve traffic efficiency, it exacerbates the non …

Several issues in designing a vehicle platoon control system must be considered; among
them, the speed consensus and space/gap regulation between the vehicles play the primary …

One of the most recent research directions in the field of Cooperative Intelligent
Transportation System is vehicle platooning. Researchers focused on various ways of …

Recently, intelligent control approaches through reinforcement learning have achieved
robust performance. The practical complication of reinforcement learning in approximating …

The time that a vehicle merges in a lane reduction can significantly affect passengers' safety,
comfort, and energy consumption, which can, in turn, affect the global adoption of …

Platoon merging control of autonomous vehicles driving in a platoon formation can improve
traffic efficiency. However, current platoon merging control approaches primarily rely on …