Reinforcement learning (RL), which is a class of machine learning, provides a framework by
which a system can learn from its previous interactions with its environment to efficiently …

Vehicular ad hoc networks (VANETs) are classified as an application of mobile ad hoc
network (MANET) that has the potential in improving road safety and in providing travellers …

As the rapid development of automotive telematics, modern vehicles are expected to be
connected through heterogeneous radio access technologies and are able to exchange …

Vehicular ad hoc networks (VANETs) are an emerging type of mobile ad hoc networks
(MANETs) with robust applications in intelligent traffic management systems. VANET has …

Driver drowsiness and distraction are two main reasons for traffic accidents and the related
financial losses. Therefore, researchers have been working for more than a decade on …

Vehicular networking has become a significant research area due to its specific features and
applications such as standardization, efficient traffic management, road safety and …

This work aims to provide a review of the routing protocols in the Internet of Vehicles (IoV)
from routing algorithms to their evaluation approaches. We provide five different taxonomies …

Vehicular networks are becoming a prominent research field in the intelligent transportation
system (ITS) due to the nature and characteristics of providing high‐level road safety and …

Vehicular ad hoc networks (VANETs) have emerged as an application of mobile ad hoc
networks (MANETs), which use dedicated short-range communication (DSRC) to allow …

This article presents a comprehensive survey of routing protocols proposed for routing in
Vehicular Delay Tolerant Networks (VDTN) in vehicular environment. DTNs are utilized in …