Coordination of Multiple Autonomous Intersections by Using Local Neighborhood Information

Traffic congestion is considered one of the most important problems of road transportation. The concept of Intelligent Transportation System (ITS) has been introduced to improve the efficiency of the traffic flow. The autonomous vehicle technology is slowly becoming a reality, alongside wireless communication technology, which is becoming a major role in vehicle communication. Wireless communication devices will be generally used in vehicles for the future road transportation. The purpose of this research work is to use the local traffic information to reduce delay time of a vehicle at an intersection. In this paper, the fully autonomous intersection system is represented as a single intersection model. In addition, the multiple intersections are created based on the connection of a single autonomous intersection agent. The communication topology of the intersection network is modeled by using the undirected graph. The traffic information in the network is able to be exchanged by Infrastructure-to-Infrastructure (I2I) communication. This discrete consensus algorithm is implemented for coordinating the local traffic information and the neighborhood intersection. The proposed method works, based on the concept Green Wave, which maximizes the throughput, as well as minimizing the delay time. It maintains the traffic density of every intersection in the network to manage every vehicle for a continuous drive with a minimal delay time. The simulation of variable traffic flow rate of multiple autonomous intersections is implemented based on the proposed method.