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 transport options. Rigorous testing, including both black box and white box methods, ensures functionality and user-friendliness. The project aims to influence commuter 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.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

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

  • Habibur Rahman,
  • Vahid Javidroozi

摘要

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 transport options. Rigorous testing, including both black box and white box methods, ensures functionality and user-friendliness. The project aims to influence commuter 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.