Guest Editorial: Introduction to the Special Section on Machine Learning-Based Internet of Vehicles: Theory, Methodology, and Applications

Abstract

The articles in this special section focuses on Vehicle (IoV) technologies and applications. With the significant development of smart vehicles, IoV technologies have received widespread attention. The IoV technology refers to dynamic mobile communication systems that communicate between vehicles and public networks using V2V (vehicle-to-vehicle),V2R (vehicle-to-road), V2H (vehicle-to-human) and V2S (vehicleto- sensor) interactions. It enables information sharing and the gathering of information on vehicles, roads, and their surrounds. The actual applications of smart Vehicles and IoV systems meet with many challenges, such as how the big data in IoV can be collected and distributed to the interested vehicles and human beings for the purpose of enhancing the road users’ experience, how huge volumes of data can be processed toward reducing the road congestion and improving traffic management and road safety, how to realize quick and efficient communication between a large amount of different kinds of vehicles and smart devices, how to effectively process the large collections of data in IoV systems, or how to protect the privacy. Many machine learning methods can be used With the significant development of smart vehicles, Internet of Vehicle (IoV) technologies have received widespread attention. The IoV technology refers to dynamic mobile communication systems that communicate between vehicles and public networks using V2V (vehicle-to-vehicle),V2R (vehicle-to-road), V2H (vehicle-to-human) and V2S (vehicleto- sensor) interactions. It enables information sharing and the gathering of information on vehicles, roads, and their surrounds. The actual applications of smart Vehicles and IoV systems meet with many challenges, such as how the big data in IoV can be collected and distributed to the interested vehicles and human beings for the purpose of enhancing the road users’ experience, how huge volumes of data can be processed toward reducing the road congestion and improving traffic management and road safety, how to realize quick and efficient communication between a large amount of different kinds of vehicles and smart devices, how to effectively process the large collections of data in IoV systems, or how to protect the privacy. Many machine learning methods can be used