Traffic Congestion Prediction Based on Multivariate Modelling and Neural Networks Regressions

Author:

Fahs Walid,Chbib Fadlallah,Rammal Abbas,Khatoun Rida,Attar Ali El,Zaytoun Issam,Hachem Joel

Funder

Conseil National de la Recherche Scientifique

National Council for Scientific Research

Publisher

Elsevier BV

Subject

General Engineering

Reference19 articles.

1. Traffic analysis of vehicular ad-hoc networks of V2I communication;Paul;Procedia Computer Science,2015

2. Internet of vehicles: architecture, protocols, and security;IEEE internet of things Journal,2017

3. Resource Allocation Modes in C-V2X: From LTE-V2X to 5G-V2X;Sehla;IEEE Transactions on Vehicular Technology,2022

4. Control Channel Anti-Jamming in Vehicular Networks via Cooperative Relay Beamforming;Gu;IEEE Internet of Things Journal,2020

5. Alex Anas, Sayan De Sarkar, Maya Abou Zeid, Govinda Timilsina, and Ziad Nakat.(2017)”Reducing traffic congestion in Beirut: an empirical analysis of selected policy options.” World Bank Policy Research Working Paper (8158).

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4. Traffic Control, Congestion Management and Smart Parking through VANET, ML, and IoT: A Review;2023 10th International Conference on Wireless Networks and Mobile Communications (WINCOM);2023-10-26

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