A survey on traffic flow prediction and classification

As cities continue to grow and the number of vehicles on the road increases, traffic congestion and pollution have become major issues. Fortunately, significant efforts have been made in recent decades to alleviate these problems through research and the development of Intelligent Transportation Systems (ITS). Governments are now utilizing advanced ITS technologies to better understand traffic patterns and make informed decisions on how to manage traffic. In this paper, we will explore the state-of-the-art methods employed in ITS for predicting traffic flow and speed, as well as classifying different traffic situations. We will also examine the preprocessing techniques used in these tasks, along with the metrics used to evaluate the results. By understanding the latest advancements in ITS, we can work towards creating more efficient and sustainable transportation systems that benefit both individuals and society as a whole.