Building Web App for Automated Vehicles Fuel/Energy Estimation

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dc.contributor.authorQuinn, Courtneyen
dc.contributor.authorScott, Laylaen
dc.contributor.authorChao, Christinaen
dc.contributor.authorTapia, Ericen
dc.contributor.authorBatra, Rohinen
dc.date.accessioned2024-12-18T00:05:39Zen
dc.date.available2024-12-18T00:05:39Zen
dc.date.issued2024-12-16en
dc.descriptionThis project integrates VTTI’s energy consumption models into a web platform that allows users to upload speed data, select vehicle type, and receive accurate and immediate energy consumption insights. By democratizing access to these models, our platform facilitates greater understanding and comparison of energy use across vehicle types. Allowing general users and researches to make more informed decisions regarding energy-efficient transportation.en
dc.description.abstract“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.en
dc.identifier.urihttps://hdl.handle.net/10919/123828en
dc.language.isoen_USen
dc.publisherVirginia Techen
dc.rightsCC0 1.0 Universalen
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/en
dc.subjectelectric vehiclesen
dc.subjectenergy consumption analysisen
dc.subjectsustainabilityen
dc.subjectweb-based analyticsen
dc.subjectvehicle energy modelingen
dc.subjectuser interface designen
dc.subjectReacten
dc.subjectFlasken
dc.titleBuilding Web App for Automated Vehicles Fuel/Energy Estimationen
dc.typeSoftwareen
dc.typeReporten
dc.typePresentationen

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