Floating Car Data Adaptive Traffic Signals Two new technologies are going to shape the future of traffic management and control: xe2x80x9cconnectedxe2x80x9d and xe2x80x9cautonomousxe2x80x9d vehicles. The possibility of gathering information from vehicles travelling on the road and the use of this information for better traffic management is receiving a growing attention from the scientific community. The purpose of this study is to present the architecture of a dedicated system for traffic signal real time regulation based on data coming from xe2x80x9cconnectedxe2x80x9d vehicles. The system presented in this paper has been implemented on the field in a dedicated experimental intersection site to assess performances of the system in actual use. Results of the experiments carried on with the presented system will establish the feasibility and the advantages of FCD adaptive traffic signals and will help to develop better regulation algorithms for this kind of new xe2x80x9cconnectedxe2x80x9d intersections.

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.