Prediction of Vehicular Traffic Flow Using Levenberg-Marquardt Artificial Neural Network Model: Italy Road Transportation System

Prediction of Vehicular Traffic Flow Using Levenberg-Marquardt Artificial Neural Network Model: Italy Road Transportation System

In the last decades, the Italian road transport system has been characterized by severe and consistent traffic congestion and in particular Rome is one of the Italian cities most affected by this problem. In this study, a Levenberg-Marquardt (LM) artificial neural network heuristic model was used to...

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Bibliographic Details
Main Authors: Isaac Oyeyemi Olayode, Alessandro Severino, Tiziana Campisi, Lagouge Kwanda Tartibu
Format: Article
Language:English
Published: University of Žilina 2022-04-01
Series:Communications
Subjects:
traffic flow
traffic congestion
levenberg-marquardt artificial neural network model
artificial intelligence
italy transportation system
Online Access:https://komunikacie.uniza.sk/artkey/csl-202202-0001_prediction-of-vehicular-traffic-flow-using-levenberg-marquardt-artificial-neural-network-model-italy-road-tran.php

Internet

https://komunikacie.uniza.sk/artkey/csl-202202-0001_prediction-of-vehicular-traffic-flow-using-levenberg-marquardt-artificial-neural-network-model-italy-road-tran.php

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