Optimizing charging station locations for fleet of electric vehicles using Multi-Source Weber Problem

The growth of demand for electric vehicles leads to the infrastructural problem of determining the locations for placing charging stations. Considering that the main drawback of electric vehicles is limited autonomy due to the limited capacity for storing energy, the solution can be found in optimal charging station locations. In this paper, we propose a model for optimizing charging station locations for electric vehicles based on the Multi-Source Weber Problem. The result is shown as minimization depending on the number of charging stations and related total travel distance. Floating car data collected in the urban area of the City of Zagreb is used to estimate the locations of charging demands for fleet of electric vehicles.