Autonomous driving of higher automation levels asks for optimal execution of critical
maneuvers in all environments. A crucial prerequisite for such optimal decision-making …

Vehicle automation technologies open new avenues for improving present transportation
networks. It is predicted that Autonomous vehicles (AVs) and Connected Vehicles (CVs) will …

The emerging fifth-generation (5G) technology towards Internet of Vehicles (IoV) provides
numerous advantages, such as lower levels of latency, stable link connections, and support …

Intelligent traffic management systems have become one of the main applications of
Intelligent Transportation Systems (ITS). There is a growing interest in Reinforcement …

The increasing demand for efficient and safe transportation systems has led to the
development of autonomous vehicles and vehicle platooning. Truck platooning, in particular …

The paper studies a game theory model to ensure fairness and improve the communication
efficiency in an unmanned aerial vehicle (UAV)-assisted cellular vehicle-to-everything (C …

The most typical topological structure of Connected and Autonomous cars (CAVs) is a
platoon formation, in which vehicles move closely together, following the leader's …

Globally, the increases in vehicle numbers, traffic congestion, and road accidents are
serious issues. Autonomous vehicles (AVs) traveling in platoons provide innovative …

The state-of-the-art framework for VANETs, Vehicles in Network Simulation (VEINS), is
primarily sparse and fragmented. The combination of VANETs and VEINS can improve road …

Deep Reinforcement Learning (DRL) uses diverse, unstructured data and makes RL
capable of learning complex policies in high dimensional environments. Intelligent …