Accurate Traffic Flow Prediction in Heterogeneous Vehicular Networks in an Intelligent Transport System Using a Supervised Non-Parametric Classifier

Accurate Traffic Flow Prediction in Heterogeneous Vehicular Networks in an Intelligent Transport System Using a Supervised Non-Parametric Classifier

Heterogeneous vehicular networks (HETVNETs) evolve from vehicular ad hoc networks (VANETs), which allow vehicles to always be connected so as to obtain safety services within intelligent transportation systems (ITSs). The services and data provided by HETVNETs should be neither interrupted nor delay...

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Bibliographic Details
Main Authors: Hesham El-Sayed, Sharmi Sankar, Yousef-Awwad Daraghmi, Prayag Tiwari, Ekarat Rattagan, Manoranjan Mohanty, Deepak Puthal, Mukesh Prasad
Format: Article
Language:English
Published: MDPI AG 2018-05-01
Series:Sensors
Subjects:
HETVNET
QoS
SVM
RBF
internet of vehicles
Online Access:http://www.mdpi.com/1424-8220/18/6/1696

Internet

http://www.mdpi.com/1424-8220/18/6/1696

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