An Ensemble-Based Machine Learning Model for Forecasting Network Traffic in VANET

Vehicular Ad-hoc Networks (VANETs), as the most significant element of the Intelligent Transportation Systems (ITS), have the potential to enhance traffic efficiency and road safety by making the transportation system smarter and are still at the initial point of development. In this paper, we propo...

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Bibliografske podrobnosti

Principais autores:	Parvin Ahmadi Doval Amiri, Samuel Pierre
Format:	Artigo
Jezik:	Inglês
Izdano:	IEEE 2023-01-01
Serija:	IEEE Access
Teme:	Vehicular ad-hoc network network traffic prediction classification machine learning deep learning ensemble learning
Online dostop:	https://ieeexplore.ieee.org/document/10061695/
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