The vehicle platoon will be the most dominant driving mode on future roads. To the best of
our knowledge, few reinforcement learning (RL) algorithms have been applied in vehicle …

The primary objective of this study is to propose a deep reinforcement learning-based
driving strategy for individual vehicles to mitigate oscillations and optimize traffic safety in …

Vehicular ad‐hoc networks (VANETs) despite their potential benefits, especially for
intelligent transportation and safety systems face some important challenges. The main …

The increasing scale of the Internet of Things (IoT) makes systems vulnerable to serious
security threats, especially when the attacks of malicious nodes exist in these networks …

Connected and Autonomous Vehicles (CAVs) in the network require to process messages
received from neighboring vehicles depending on various applications. Due to limits of …

The messages in vehicular ad hoc networks (VANET) are vulnerable to attack in the open
wireless environment. Group communication in VANET is receiving more attention, which …

Infotainment system is meant for offering integrated services of information and
entertainment to the driver to offer a better driving experience. However, the infotainment …

In the realm of wireless communication, Vehicular Ad Hoc Networks (VANETs) confront
security vulnerabilities, necessitating the adoption of an encryption method that ensures …

Infotainment system is meant for offering integrated services of information and
entertainment to the driver to offer a better driving experience. However, the infotainment …

The vehicular ad hoc networks are vulnerable to security threats while communication is
established in wireless made proper encryption scheme can aid in establishing effective and …