Optimizing electric vehicle charger installation on a non-urban highway: a case study of BR-386, Motiva Viasul, Brazil

Autores
DOI:
https://doi.org/10.47456/bjpe.v12i5.53330
Palavras-chave:
Electric vehicle charging, optimization, genetic algorithm, geographic information system, range anxiety
Resumo

This study aims to find optimal points to place electric vehicle chargers (EVCs) for electric vehicles (EVs) on the non-urban highway BR-386, part of the MOTIVA ViaSul concession. This work applies a Genetic Algorithm (GA) model combined with the Geographic Information System (GIS) to determine the optimal locations of the charging station. The work was implemented in three stages. The first stage is the acquisition and cleaning of the database because the data is obtained from several different sources. The second stage is the implementation of the GA model. This phase uses the applied data, including traffic flow (both in 2025 and an estimate for 2030), electrical energy infrastructure and EV specifications. The third stage is the application of different scenarios to obtain the optimal solution for the model. The model found two optimal locations for EV charger allocation, besides to the ideal number of chargers, the average queue size, and utilization percentage of the chargers depending on the scenario, either the 2025 one or the 2030 scenario.

Biografia do Autor
  1. Tiago de Oliveira Mafra Teixeira, The University of Texas at Arlington

    Undergraduation in Production Engineering from Universidade de Brasília (2023), Master's in Transportation Engineering from Universidade de Brasília (2026), and currently a PhD student in at the University of Texas at Arlington.My research interests lie in the field of Digital Twin, with a focus on its application in Industrial Engineering, process optimization and simulation. Through the Ph.D. program, I aim to deepen my understanding of integrated cyber-physical systems by exploring advanced strategies for realtime modeling, simulation, and control to enhance operational efficiency. I seek to contribute innovative solutions that combine digital technologies and engineering to address complex challenges of Industry 4.0, aligning with the programs research lines and its commitment to digital transformation in manufacturing.  http://lattes.cnpq.br/5585244483534510

  2. Reinaldo Crispiniano Garcia, Universidade de Brasília

     

    He holds a degree in Mechanical-Aeronautical Engineering (1989) and a Master's degree in Operations Research and Industrial Engineering (1992)—both from the Aeronautics Institute of Technology (ITA)—as well as a Ph.D. in Civil and Environmental Engineering from the University of California, Berkeley (1999). He has worked on research and consulting projects in the United States, Europe, and Brazil, notably for the governments of California and Texas, the European Economic Community, the United Nations Development Programme (UNDP), and private companies, among others. Currently, he is an Associate Professor of Production Engineering at the University of Brasília and Director of the Operations Research Laboratory (www.orlab.com.br), as well as Deputy Director of the Federal District's Integrated Research Center for Civil Defense Protection (CIP/CEPED-DF); he also teaches Operations Research at the Sezerdello Correa Institute (ISC) of the Federal Court of Accounts (TCU). In recognition of his contributions to the fields of Operations Research and Decision Science, he was named a Senior Member of INFORMS (Institute for Operations Research and the Management Sciences). He has held various leadership positions, including Coordinator of the Specialization Course in Public Roadworks Auditing for the Federal Court of Accounts (TCU). His areas of expertise include Applied Finance, Energy and Transport Economics (Infrastructure, Logistics), Industrial Engineering, Operations Research, and Economics. http://lattes.cnpq.br/1193145495367613 https://orcid.org/0000-0002-4376-4292

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Cover Image
Cover image promoting a scientific article published in the Brazilian Journal of Production Engineering (BJPE). The image shows an electric vehicle connected to a fast-charging station along a highway, with multiple charging units extending into the background, representing the expansion of electric mobility infrastructure. At the bottom, the title "Smart Highway Charging" appears, followed by the authors Teixeira, T. de O. M., and Garcia, R. C. C. (2026), along with the logos of the supporting institutions and BJPE.
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Publicado
20.07.2026
Edição
v. 12 n. 5 (2026): N° Especial VII Simpósio de Engenharia de Produção (SIENPRO)
Seção
Inovação, Sustentabilidade e Empreendedorismo: Caminhos para a Transformação da Engenharia de Produção
Licença

Direitos autorais (c) 2026 Teixeira, T. de. O. M. & Garcia, R. C. C.

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Este trabalho está licenciado sob uma licença Creative Commons Attribution 4.0 International License.

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Como Citar

Teixeira, T. de O. M., & Garcia, R. C. (2026). Optimizing electric vehicle charger installation on a non-urban highway: a case study of BR-386, Motiva Viasul, Brazil. Brazilian Journal of Production Engineering, 12(5), 166-173. https://doi.org/10.47456/bjpe.v12i5.53330