Proposed Solutions for Smart Traffic Lights using Machine Learninig and Internet of Thing

Abstract

The Moroccan cities today have a great development at the population level and meanwhile cars are one of the most used and preferable vehicles for users to travel inside the Moroccan cities. These two elements have led the cities roads to be overloaded by vehicles and, consequently, have increased both the expected travel time and the number of accidents in intersections. To come out with solutions to these problems, several traffic management systems have been installed in many cities all over the world such as TRANSYT, SCCOT, SCATS. In general, to optimize the waiting time, the proposed solutions have aimed to optimize the following three elements; time cycle, green light time, and phase. In this article, we will propose some solutions integrating new techniques such as Internet of Things (IoT), Machine Learning and CCTV (Closed Circuit TeleVision) System in order to optimize these elements.