Traffic Flow Prediction using Machine Learning

Abstract

The traffic flow prediction is an essential part of a city transportation system. With people relying on various modes of transportation, traffic in big cities is increasing at an exponential rate. In this scenario, prediction of traffic flow becomes very important not only for the administration but also for the common man travelling on the road. For this reason, various traffic flow prediction systems based on machine learning algorithms have been proposed in the past few years. However, accuracy of such systems is still a big concern. Also, the parameters considered for predicting traffic flow have not been very comprehensive in nature.