Android application-based automated prediction for green transportation mode detection: architecture, challenges and results

Authors

Hassen Fourati (ORCID: https://orcid.org/0000-0002-8398-7183)
Nicolas Vuillerme (ORCID: https://orcid.org/0000-0003-3773-393X)
Denis Faure-Vincent
Ilhem Gharbi

Institutions

Institut polytechnique de Grenoble (FR)
Centre National de la Recherche Scientifique (FR)
Institut Universitaire de France (FR)
Centre Inria de l'Université Grenoble Alpes (FR)
GIPSA-Lab (FR)
Université Grenoble Alpes (FR)

Publication Details

Journal: Journal of Intelligent Transportation Systems
Published: 2025-10-28
DOI: https://doi.org/10.1080/15472450.2025.2576935
Primary Topic: Traffic Prediction and Management Techniques
Type: article
Field-Weighted Citation Impact: 0.00

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article

Android application-based automated prediction for green transportation mode detection: architecture, challenges and results

Hassen Fourati, Nicolas Vuillerme, Denis Faure-Vincent, Ilhem Gharbi

Oct 28, 2025

Journal of Intelligent Transportation Systems

Traffic Prediction and Management Techniques

article

Android application-based automated prediction for green transportation mode detection: architecture, challenges and results

Hassen Fourati, Nicolas Vuillerme, Denis Faure-Vincent, Ilhem Gharbi

October 28, 2025article en

Abstract

No abstract available for this paper.

Journal of Intelligent Transportation Systems

Institut polytechnique de Grenoble (FR), Centre National de la Recherche Scientifique (FR), Institut Universitaire de France (FR), Centre Inria de l'Université Grenoble Alpes (FR), GIPSA-Lab (FR), Université Grenoble Alpes (FR)

Openalex Percentile: Top 66%

Traffic Prediction and Management Techniques

DOI Open Access PDF OpenAlex

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