CARBON MAPS - Personalized Carbon Emission Estimator

Transportation is a significant contributor to global greenhouse gas emissions. Accurate estimation and visualization of individual carbon footprints can enable informed travel decisions that promote sustainability. This paper presents Carbon Maps, a real-time route planning application that calculates personalized carbon emissions based on trip distance, transport mode, and dynamically adjustable passenger occupancy. Leveraging geospatial routing APIs and regional emission factor datasets, Carbon Maps offers emission estimates across multiple transport modes, including private vehicles, public transit, and active transport. The system integrates user-input passenger counts to tailor emission calculations, providing clarity on shared versus solo travel impacts. Results demonstrate the effectiveness of Carbon Maps in raising environmental awareness and supporting eco-friendly commuter choices. The modular design of the platform enables easy integration with other smart city and environmental monitoring tools.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-11-07
DOI
https://doi.org/10.5281/zenodo.17548532
Primary Topic
Vehicle emissions and performance
Type
article
Field-Weighted Citation Impact
0.00
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article

CARBON MAPS - Personalized Carbon Emission Estimator

Zenodo (CERN European Organization for Nuclear Research)
Vehicle emissions and performance
article

CARBON MAPS - Personalized Carbon Emission Estimator

article en

Abstract

Transportation is a significant contributor to global greenhouse gas emissions. Accurate estimation and visualization of individual carbon footprints can enable informed travel decisions that promote sustainability. This paper presents Carbon Maps, a real-time route planning application that calculates personalized carbon emissions based on trip distance, transport mode, and dynamically adjustable passenger occupancy. Leveraging geospatial routing APIs and regional emission factor datasets, Carbon Maps offers emission estimates across multiple transport modes, including private vehicles, public transit, and active transport. The system integrates user-input passenger counts to tailor emission calculations, providing clarity on shared versus solo travel impacts. Results demonstrate the effectiveness of Carbon Maps in raising environmental awareness and supporting eco-friendly commuter choices. The modular design of the platform enables easy integration with other smart city and environmental monitoring tools.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 50%
Vehicle emissions and performance
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