Machine Learning Model for Road Anomaly Detection Using Smartphone Accelerometer Data

Machine Learning Model for Road Anomaly Detection Using Smartphone Accelerometer Data

This paper presents a vibration-based machine learning approach for road surface monitoring using smartphone sensors. With Mexico’s road network experiencing significant deterioration and potholes ranking as citizens’ top concern, we propose a convolutional neural network (CNN)...

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Bibliographic Details
Main Authors: Mahdi Zareei, Carlos Alonzo Lopez Castaneda, Faisal Alanazi, Fausto Granda, Jesus Arturo Perez-Diaz
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Road anomaly detection
smartphone sensors
convolutional neural networks
vibration analysis
mobile crowd-sensing
Online Access:https://ieeexplore.ieee.org/document/11072341/
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https://ieeexplore.ieee.org/document/11072341/

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