Traffic Volume Prediction Using Regression Modeling Approach

An advanced application called the Intelligent Traffic System (ITS) seeks to offer cutting-edge services for managing traffic and other types of transportation. Therefore, the amount of traffic is a crucial element in the proper application of ITS. As a result, the authors of the current research have created a regression model to forecast real-time traffic volume in a metropolitan region. One month's worth of real-time data from a busy road is gathered for modelling purposes. According to the findings, the constructed model is quite suitable for predicting traffic volume, with R2 and modified R2 values of 81.67% and 80.70%, respectively.