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Street SAFE - Road Fault Monitoring and Reporting
International Journal of Engineering Trends and Technoloy
Maintaining roads have become challenging as road users are on the rise. Tough weather conditions and high traffic make road surfaces deteriorate swiftly. Manual detection on these defects is not efficient. Due to the rise of smartphone use, the accelerometers in the smartphone are employed for road fault classification. Supervised machine learning classification models of data pertaining to pothole, speed bump, hazard line, smooth road, uneven road, turn, and hard stop are trained with thedoi:10.14445/22315381/cati1p222 fatcat:5klzq5vtbbhmtitunivbah4olm