Android Application-based Automated Prediction for Green Transportation Mode Detection: Architecture, Challenges and Results
- DOI
- 10.1080/15472450.2025.2576935
- Published
- 2025-10-28
- Container
- Journal of Intelligent Transportation Systems: Technology, Planning, and Operations
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1080/15472450.2025.2576935,
title = {Android Application-based Automated Prediction for Green Transportation Mode Detection: Architecture, Challenges and Results},
author = {Ilhem Gharbi and Denis Faure-Vincent and Hassen Fourati and Nicolas Vuillerme},
year = {2025},
journal = {Journal of Intelligent Transportation Systems: Technology, Planning, and Operations},
doi = {10.1080/15472450.2025.2576935},
url = {https://doi.org/10.1080/15472450.2025.2576935}
}RIS
TY - JOUR TI - Android Application-based Automated Prediction for Green Transportation Mode Detection: Architecture, Challenges and Results AU - Ilhem Gharbi AU - Denis Faure-Vincent AU - Hassen Fourati AU - Nicolas Vuillerme PY - 2025 JO - Journal of Intelligent Transportation Systems: Technology, Planning, and Operations DO - 10.1080/15472450.2025.2576935 UR - https://doi.org/10.1080/15472450.2025.2576935 ER -
APA
Gharbi, I., Faure-Vincent, D., Fourati, H., & Vuillerme, N. (2025). Android Application-based Automated Prediction for Green Transportation Mode Detection: Architecture, Challenges and Results. Journal of Intelligent Transportation Systems: Technology, Planning, and Operations. https://doi.org/10.1080/15472450.2025.2576935
Source records
- hal · retrieved 2026-09-25T23:14:11.752Z