Traffic Congestion Control System Using Machine Learning

Abstract

The aim of this paper is to introduce the traffic congestion control system by using machine learning technology. Machine Learning is the property by which a computer system act without being explicitly programmed. It can be supervised, unsupervised & reinforcement learning. Traffic congestion is a critical problem in many areas around the world. Many policies have been implemented to reduce traffic congestion This paper will discuss various work done on traffic congestion control & proposed new traffic congestion control system. For the system implementation Python programming will be used.