Cooperative ScheduleDriven Intersection Control with Connected and Autonomous Vehicles Recent work in decentralized, scheduledriven traffic control has demonstrated the ability to improve the efficiency of traffic flow in complex urban road networks. In this approach, a scheduling agent is associated with each intersection. Each agent senses the traffic approaching its intersection and in realtime constructs a schedule that minimizes the cumulative wait time of vehicles approaching the intersection over the current lookahead horizon. In this paper, we propose a cooperative algorithm that utilizes both connected and autonomous vehicles (CAV) and scheduledriven traffic control to create better traffic flow in the city. The algorithm enables an intersection scheduling agent to adjust the arrival time of an approaching platoon through use of wireless communication to control the velocity of vehicles. The sequence of approaching platoons is thus shifted toward a new shape that has smaller cumulative delay. We demonstrate how this algorithm outperforms the original approach in a realtime traffic signal control problem.

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.