Abstract:

The increasingly evident incorporation of the electric vehicle in urban environments is an already undeniable change. Electric vehicles are appearing on the market with more autonomy and lower prices, which is facilitating the progressive change of the vehicle fleet. However, the electric vehicle brings with it the need to provide enough charging stations distributed throughout the city, so that the autonomy of the vehicle is not a problem. This work presents how a genetic algorithm that analyzes the open data sources of a city is used to propose the most suitable locations for these stations. This proposal will be used as the basis for a series of experiments that will simulate the impact of placing these stations along the city in order to assess the benefits of the genetic algorithm's answer. An agent-based simulation infrastructure was constructed around a fleet simulator to do this.