Albeir Saber, AnthonyKhaled Mohamed Metwaly, Mohamed2022-07-252022-07-252022Faculty Of Engineering Graduation Project 2020- 2022https://2u.pw/BjUUYDue to increasing number of vehicles traffic jams are becoming a common scenario in the whole country as well as in the world. These frequent traffic jams at major junctions kill a lot of man hours. Thus, it creates a need for an efficient traffic management system. So here we are going to implement a smart traffic control system which is based on the measurement of traffic density using real time video processing technique. As the population of the modern cities is increasing day by day due to which vehicular travel is increasing which lead to congestion problem. We used video processing technique caused by using this we can easily calculated density of traffic present on road. The system will detect vehicles through images instead of using electronic sensors embedded in the pavement. A camera will be installed alongside the traffic light. It will capture image sequences. Image processing is a better technique to control the state change of the traffic light. In this proposed system aims to utilize live images from the cameras at traffic junctions for traffic density calculation using image processing and Artificial Intelligence (AI). The project will operate vehicle detection algorithm, speed estimation, and person detection operation. Moreover, the system will investigate the region of interest that the vehicle and person intersect in the movement. It also focuses on the algorithm for switching the traffic lights based on the vehicle density to reduce congestion, thereby providing faster transit to people and reducing pollution.enuniversity of modern sciences and artsMSA universityOctober university for modern sciences and artsجامعة أكتوبر للعلوم الحديثة و الأدابArtificial IntelligenceManagement SystemOther