Exhibit D - Research Project Requirement: PDF Link

Project Summary: The project aims to address the lag in electric vehicle (EV) adoption in rural and underserved communities compared to urban areas. It focuses on overcoming the main barrier of "range anxiety" by developing a data-driven framework consisting of three main components: EV demand forecasting, charging network optimization, and routing strategies for public charging stations. By analyzing local demographic and socioeconomic data, vehicle ownership, road networks, driving patterns, and other relevant factors, the project will provide insights into EV demand estimation, optimal deployment of charging infrastructure, and effective EV routing in rural areas. The project aims to identify the charging needs of underserved groups to ensure they have more convenient access to EV infrastructure. The project team will employ data science, statistical modeling, machine learning techniques, graph theory, and optimization methodologies to achieve its objectives.