Building Web App for Automated Vehicles Fuel/Energy Estimation

“Is switching from a gasoline engine to an electric or hybrid vehicle worth it?” The decision involves multiple factors: while fuel prices are high, electric vehicles also come with significant upfront costs, raising questions about cost-effectiveness and environmental impact. Consumers and researchers alike need accessible tools to evaluate such factors in the context of sustainability. As the transportation sector embraces eco-friendly vehicles, the demand grows for user-centered tools that clarify energy consumption data for both industry experts and general users. This interdisciplinary project responds to this need by creating a web-based application that integrates the Virginia Tech Transportation Institute (VTTI) models for vehicle energy consumption within a graphical user interface. By making these sophisticated models accessible, the platform empowers both researchers and non-expert users to make data-driven decisions on vehicle energy efficiency and environmental impact. Past studies, such as those by Madziel and Campisi, highlight the impact of variables like temperature, vehicle load, and driving style on electric vehicle (EV) energy usage [1]. Our platform provides an intuitive interface, enabling users to upload speed data, select a vehicle type, and view real-time energy analytics through interactive charts. The system includes support for: • Internal Combustion Engine Vehicles (ICEV) • Battery Electric Vehicles (BEV) • Hybrid Electric Vehicles (HEV) • Hydrogen Fuel Cell Vehicles (HFCV) Built using React and Python Flask, the site includes data upload, calculation results, and visualization features for all user levels. By bridging complex analytics with user-friendly design, this platform supports informed, data-driven decisions in sustainable transportation.