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We propose the conceptual design of a Decision Support System (DSS) for the optimal allocation of electric vehicle (EV) charging stations (CSs) within an urban area under criteria of social and environmental benefits. The proposed DSS employs simulation, optimization, and a machine learning metamodel to suggest decisions that optimize traffic patterns in the city, operation of the electric grid, air quality, and carbon footprint of the city by taking into account all the variables involved and their mutual influence.

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Conceptual Design of a Decision Support System for the Allocation of Electric Vehicle Charging Stations

  • 会议论文

  • 发表日期：

    2025年

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  • José-Luis Guisado-Lizar,
  • Antonio Navas-Orozco,
  • David Ragel-Díaz-Jara,
  • José Morera-Figueroa,
  • Daniel Cascado-Caballero,
  • María José Morón-Fernández,
  • Gabriel Jiménez-Moreno,
  • Fernando Diaz-del-Rio

摘要

We propose the conceptual design of a Decision Support System (DSS) for the optimal allocation of electric vehicle (EV) charging stations (CSs) within an urban area under criteria of social and environmental benefits. The proposed DSS employs simulation, optimization, and a machine learning metamodel to suggest decisions that optimize traffic patterns in the city, operation of the electric grid, air quality, and carbon footprint of the city by taking into account all the variables involved and their mutual influence.