Applying IoT on Contemporary Traffic System An ever increasing urban population has substantially overburdened the cities of today. In particular, metropolitan city roads are being flooded with traffic each day and the numbers only seem to increase. While government bodies are busy in constructing numerous flyovers and underpasses to cope with the increasing traffic load, the current paper proposes an initiative to assist the government in better management of traffic through application of technology. As such, the paper proposes a unique traffic management system capitalizing over the Internet of Things. The system would work by virtue of a circuit board that is installed across the traffic signals and on the vehicles, allowing them to interact with traffic signals, change the light to red by detecting traffic overload on the opposite side of the road, respond to changing traffic lights and promptly identify vacant parking space for drivers. It is anticipated that actualization of this proposal would be of considerable assistance in better managing road traffic and in avoiding prolonged traffic jams.

Urban Intersection Management with Connected Infrastructure Objects and Autonomous Vehicles The congestion of urban car traffic creates many problems at once to the residents of metropolises, from emissions of harmful substances into the atmosphere to annually increasing mortality in road traffic accidents. Recent achievements in the field of artificial intelligence and the organization of the movement of autonomous vehicles today allow us to create concepts that may become ubiquitous in the near future. In this paper, the authors consider the possibilities for creating an intelligent transport infrastructure within the concept of a smart city using cyberphysical systems. The aspects of information security in the use of cyberphysical systems are considered, approaches to solving problems of intersection management are discussed. Intersections in cities loaded with traffic can be compared with bottlenecks  the trajectory of many vehicles overlap and congestion occurs. To increase the capacity of urban streets, the authors presented a model of the system that regulates the movement of vehicles at the intersection. To assess the feasibility of using the developed model, the authors developed a software simulator of two connected urban intersections. For comparison, a simulator of the intersections, regulated by a traffic lights, was also developed. The results of the experiments allow us to say that the developed model is more efficient than the traffic light in the framework of this study.