DLIA for Cities

As cities globally shift towards sustainable transportation systems, the demand for efficient and accessible EV charging facilities continues to surge. Yet, planning and deploying charging infrastructure in urban areas pose intricate challenges, includingdue to data availability, limited parking spaces, and grid capacity constraints. The pilot addresses these challenges by leveraging advanced AI technology and geospatial analysis to forecast the future demand for public electric vehicle charging and determine the optimal distribution of charging infrastructure, taking into account urban plans and grid requirements.

The project focuses on developing the DeepVolt Location Intelligence Assistant (DLIA) for Cities. DLIA for Cities is an AI solution to analyse future electric vehicle (EV) charging needs and optimise charging infrastructure deployment. By leveraging diverse geospatial data and user-defined scenarios, the tool determines the optimal distribution of public charging infrastructure while considering limitations such as accessibility and grid hosting capacity. This tailored GIS planning solution will be piloted in the Municipality of Istanbul to analyse their future EV charging needs and support the efforts of the Municipality and Istanbul Energy to promote sustainable electric mobility.Through data analytics and scenario modelling, DLIA for Cities empowers Istanbul Metropolitan Municipality and Istanbul Energy to strategically deploy charging stations where they will be most needed. This not only ensures convenient access for EV owners but also maximises infrastructure use, supporting the Municipality’s decarbonisation efforts. Designed for scalability across Türkiye, this pilot also serves as a blueprint for other municipalities worldwide.