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Smart Carbon Emission Tracker: A Data-Driven Approach for Greener Multi-modal Transportation

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This study focuses on the development and evaluation of a smart, sustainable transportation tracker that calculates carbon emissions across various transport modes, including walking, cycling, driving, and public transit, while suggesting routes to reduce emissions. The application integrates with the Google Directions API to provide real-time traffic data and presents users with detailed information on route distance, duration, carbon emissions, and alternative trans-port options. Rigorous testing, including both black box and white box methods, ensures functionality and user-friendliness. The project aims to influence com-muter behaviour towards more sustainable practices, contributing to the reduction of urban carbon footprints. Supporting the UK's net-zero emissions goal by 2050, the project highlights the role of environmental data in daily technologies and raises individual awareness of carbon footprints. This work lays the foundation for further research and development in smart, sustainable urban transportation.
Original languageEnglish
Title of host publicationAdvances on Intelligent Computing and Data Science II
PublisherSpringer
Pages161-172
Number of pages12
ISBN (Electronic)9783031913518
ISBN (Print)9783031913501
DOIs
Publication statusPublished (VoR) - 22 Jul 2025

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