Georeferenced Raster Maps for Electric Vehicles Charging Stations Deployments Optimization

The growing number of electric vehicles in urban environments is drawing attention to the deployment of electic vehicles charging stations with the aim of maximizing user satisfaction, especially in historic cities where most inhabitants cannot have their own charging points. In this context, public or private companies should define an effective strategy for an optimal deployment of Charging Stations.The aim of this work is to provide a flexible and effective tool for managing the distribution of charging stations for electric vehicles. This tool should take advantage of georeferenced maps, i.e. raster maps. These are used to encode the key information for the definition of the Quality of Service parameters; in particular, high resolution density maps are used in this work. The optimization process is conducted by means of evolutionary optimization algorithms due to their flexibility and ability to manage non-linear and multimodal functions.