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

In the last decades, Italian road transport system has been characterized by severe and consistent traffic congestion in particular Rome is one of cities most affected this problem. study, a Levenberg-Marquardt (LM) artificial neural network heuristic model was used to predict flow non-autonomous vehicles. Traffic datasets were collected using both inductive loop detectors video cameras as acquisition systems selecting some parameters including vehicle speed, time day, volume number The showed training, test regression value (R2) 0.99892, 0.99615 0.99714 respectively. results research add growing body literature on modelling help urban planners managers terms control provision convenient travel routes for pedestrians motorists.