Data Science in Vehicular Ad-Hoc Networks

Abstract

Vehicular Ad-hoc Networks (VANET) is a mobile ad-hoc network in which vehicles move rapidly through the road and topology changes very frequently. VANET helps to provide safe, secure, and more comfort travel to travelers. Vehicles intelligence is an important component in high mobility networks, equipped with multiple advanced onboard sensors and contain large volumes of data. Datascience is an effective approach to artificial intelligence and provides a rich set of tools to exploit such data for the benefit of the networks. In this chapter, the distinctive characteristics of high mobility vehicular ad-hoc networks are identified and the use of datascience is addressing the resulting challenges. High mobility vehicular ad-hoc networks exhibit distinctive characteristics, which have posed significant challenges to wireless network design. Vehicle traffic data, and road traffic future condition data are analyzed and incorporated to enhance the VANET performance. VANETs technologies are useful to efficiently model and reliably transmit big data.