Transportation Mode Detection Using Learning Methods and Self-Contained Sensors: Review

Transportation Mode Detection Using Learning Methods and Self-Contained Sensors: Review

Due to increasing traffic congestion, travel modeling has gained importance in the development of transportion mode detection (TMD) strategies over the past decade. Nowadays, recent smartphones, equipped with integrated inertial measurement units (IMUs) and embedded algorithms, can play a crucial ro...

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Bibliographic Details
Main Authors: Ilhem Gharbi, Fadoua Taia-Alaoui, Hassen Fourati, Nicolas Vuillerme, Zebo Zhou
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Sensors
Subjects:
transportation mode detection
machine learning
classification
inertial sensors
smartphones
Online Access:https://www.mdpi.com/1424-8220/24/22/7369
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