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Title	Strategies For Locating Electric Vehicle Charging Stations In Smart Cities
ID_Doc	53146
Authors	Mateus B.R.; Brustolini P.; Filho N.I.M.; De Souza F.S.H.; Filho G.P.R.; Meneguette R.I.; Guidoni D.L.
Year	2024
Published	Proceedings - 2024 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2024
DOI	http://dx.doi.org/10.1109/DCOSS-IoT61029.2024.00107
Abstract	Electric vehicles represent one of the most promising technological innovations in promoting smart cities and smart transport systems concepts. However, the charging infrastructure is the main drawback to increasing the adoption of electric vehicles. The limited number of charging stations in the cities is an obstacle to the wide adoption of electric vehicles. Therefore, this work proposes to study solutions for the location and installation of charging stations in the context of smart cities. The paper presents three solutions: (i) random, being a naive approach for comparison; (ii) pseudo-random, where the road map is divided into quadrants and a charging station is installed randomly within each quadrant; and (iii) pseudo-greedy, in which the road map is divided into quadrants and the most visited street by vehicles within the quadrant is selected to install a charging station. These approaches are compared using the TAPAS Cologne map and an urban mobility simulator, which considers electric vehicles and charging during their routes. © 2024 IEEE.
Author Keywords	Charging Station; Electric Vehicle; Intelligent Transportation Systems; Smart Cities

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