Empirical Study on Discrete Modeling of Urban Intersection Management System

Empirical Study on Discrete Modeling of Urban Intersection Management System

Sergey Chuprov (ITMO University, Russia), Ilia Viksnin (ITMO University, Russia), Iuliia Kim (ITMO University, Russia), Nikita Tursukov (ITMO University, Russia) and Gleb Nedosekin (ITMO University, Russia)
DOI: 10.4018/IJERTCS.2020040102
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Abstract

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 to increase safety on the road. To avoid traffic jams, it is necessary to optimize road traffic. This article proposes a model of the intersection management system. The system aims to organize a conflict-free, safe, and optimal traversal of AVs 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 custom 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 traffic lights.
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The section provides an overview of scientific research in the field of AVs and intersection management systems. The problems of traffic optimization and popular ways and concepts to solve them are considered, the main stages of the development of AVs, the technologies and algorithms are briefly described. The technologies used to exchange the data between AVs and OTIs and the basic principles of their work are considered and described, as well as approaches to AVs movement control at the intersection.

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