Short-term traffic condition variables forecasting using Artificial Neural Networks

Abstract

Short-term traffic forecasting (STTF) is a critical element of Intelligent Transport Systems (ITS). The use of ITS is vital in order to ensure the sustainability and increase the efficiency of the transportation network. ITS bases decisions on traffic conditions and so it can only be effective if the forecasted future traffic conditions provided are accurate.