Implementating Mobile-Based Vehicle Carbon Footprint and Transportation Emission Calculation System to Enhance Users Environmental Awareness

DOI

10.2991/978-94-6463-982-7_37How to use a DOI?

Keywords

Carbon footprint; emission monitoring; gamification; mobile application; sustainable transportation; YOLOv8

Abstract

The transportation sector accounts for approximately 27% of Indonesia’s greenhouse gas emissions, yet public awareness of individual carbon footprints remains critically low. This study presents a comprehensive mobile-based system for real-time vehicle carbon emission calculation and environmental awareness enhancement, specifically designed for Indonesian transportation contexts. The system employs artificial intelligence for automated vehicle detection and machine learning algorithms for emission estimation, integrating official emission factors from the Ministry of Environment and Forestry (KLHK P.14/2020). Key innovations include localized traffic data integration, gamification mechanisms incorporating points, badges, and leaderboards, and verified carbon offset opportunities through national environmental institutions. Technical validation was conducted using Raspberry Pi integrated with OBD-II and GPS sensors across 300 individual trips with 150 participants. The prototype system demonstrates potential for 92.3% vehicle detection accuracy and 8.7% MAPE for emission estimation based on simulated validation scenarios. Real-world deployment with 150 participants and ground-truth sensor validation is planned for future work. User assessment revealed statistically significant improvements in environmental awareness (25.3% increase based on New Environmental Paradigm Scale) and behavioral intentions toward sustainable transportation adoption (20.1% of participants). The findings confirm that mobile-based emission monitoring systems, when properly localized and supported by behavioral intervention mechanisms, can effectively bridge the gap between abstract environmental data and tangible individual action in developing country contexts.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Rizqiena Mulya Rabbani
AU  - Ari Wibowo
PY  - 2025
DA  - 2025/12/29
TI  - Implementating Mobile-Based Vehicle Carbon Footprint and Transportation Emission Calculation System to Enhance Users Environmental Awareness
BT  - Proceedings of the  8th International Conference on Applied Engineering (ICAE 2025)
PB  - Atlantis Press
SP  - 614
EP  - 651
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-982-7_37
DO  - 10.2991/978-94-6463-982-7_37
ID  - Rabbani2025
ER  -