… vehicular networks are expected to make everyday vehicular … , has been recently applied to
wireless networks to provide a data-… in applying machine learning in vehicular networks and …

… networks become increasingly diverse and complex, for example, in the high-mobility vehicular
networks… wireless resource allocation with application to vehicular networks. We review …

… review recent advances in applying machine learning in vehicular networks and attempt to
… application examples of machine learning in solving problems arising in vehicular networks. …

… In Section V, we present some preliminary examples of applying machine learning for
data-driven decision making and wireless resource management problems in vehicular networks. …

… that apply the hidden knowledge extracted from the mobility trace for vehicular networks. This
… For example, we can abstract the movements of a vehicle as a sequence of stay points and …

… [97] presented a concrete example of using NS in the vehicular network domain focusing on
… While the potential of applying ML in vehicular networks has been discussed in Section VI, …

… in vehicular networks from the networking aspect. Research topics covered in this article
include network … In contrast to traditional ML application scenarios, data in vehicular networks is …

… at the application and physical layer of Vehicle-to-Vehicle … For example, if the vehicle failed
the Speed Consistency, we … a significant network overhead especially when the vehicle is …

… vehicular networks into manual driving vehicular networks … as another important application
of vehicular networks. In … For example, some drivers may accelerate suddenly to pass …

… applying Big Data analytics principles in vehicular networks. The chapter discusses technologies
of big data for vehicular networks, data validation, Vehicular … typical example is vehicle …