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ThinkMind // VEHICULAR 2020, The Ninth International Conference on Advances in Vehicular Systems, Technologies and Applications // View article vehicular_2020_1_50_30031


A Multi-Agent Approach to Simulate Autonomous Traffic with Games: How to Transform GTA-SA/SA-MP in Your Simulation Platform

Authors:
Sandro R. Dias
Rodrigo R. Novaes Jr.
Pedro C. M. Ferreira
Jônata N. Cirqueira

Keywords: Autonomous vehicles; multi-agent system; game; VANET; IoT.

Abstract:
Urban mobility is among the main problems of the contemporary society. In this context, the vehicle automation technologies stand out in several aspects, such as reduction in accidents, congestion and emission of pollutants. Considering that, this work seeks to upgrade the simulation platform composed by Grand Theft Auto: San Andreas, and its modification San Andreas: Multiplayer (GTA-SA/SA-MP) that, according to the literature, is an appropriate environment for implementing autonomous vehicles networks. By using available structures in this environment, it is possible to perform three-dimensional simulations in many scales, ranging from a single village to an extensive intercity map. From the available structures in game, it was used a set of navigational nodes, which identify all the available routes for the vehicles in the roads. We used the navigational nodes to generate a weighted directed graph, to which we applied Dijkstra’s and A* search algorithms. From that, it was observed that the vehicles were able to calculate and follow the best route from a source to a target node in any place of the map, obtaining a realistic environment to simulate and test solutions for the traffic, such as the autonomous intersection management protocol, which will be implemented in future.

Pages: 26 to 32

Copyright: Copyright (c) IARIA, 2020

Publication date: October 18, 2020

Published in: conference

ISSN: 2327-2058

ISBN: 978-1-61208-795-5

Location: Porto, Portugal

Dates: from October 18, 2020 to October 22, 2020

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