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Optimization of Autonomous Vehicles Movement in Urban Intersection Management System

With the growing number of cars in the world, there are corresponding problems that society needs to solve. In metropolises, intersections are generators of traffic jams and traffic accidents. The introduction of unmanned autonomous vehicles is one of the solutions, however, it is necessary to optimize their movement. In this paper, authors propose a model of the functioning of the intersection management system. The aim of the system is to organize a conflict-free, safe and optimal traversal of unmanned vehicles within the framework of the intelligent transport system of a smart city. The model assumes that at each intersection there are objects of transport infrastructure responsible for building routes at the intersection. To assess the feasibility of the presented model, the authors developed a software simulator of a network of urban intersections and conducted experiments. Based on simulation experiments, the use of the developed model can significantly reduce the time spent by unmanned vehicles to overcome the intersection compared to a traffic lights.