Abstract
Road surface monitoring is a key factor to providing smooth and safe road infrastructure to road users. The key to road surface condition monitoring is to detect road surface anomalies, such as potholes, cracks, and bumps, which affect driving comfort and on-road safety. Road surface anomaly detection is a widely studied problem. Recently, smartphone-based sensing has become increasingly popular with the increased amount of available embedded smartphone sensors. Using smartphones to detect road surface anomalies could change the way government agencies monitor and plan for road maintenance. However, current smartphone sensors operate at a low frequency, and undersampled sensor signals cause low detection accuracy. In this study, current approaches for using smartphones for road surface anomaly detection are reviewed and compared. In addition, further opportunities for research using smartphones in road surface anomaly detection are highlighted.
Highlights
IntroductionThe monitoring of road surface conditions has become considerably important
The monitoring of road surface conditions has become considerably important.Well-maintained road surfaces increase road user safety and comfort levels
In Canada, authorities responsible for road surface maintenance have to deal with complaints concerning the poor surface conditions of roadways, during the winter months
Summary
The monitoring of road surface conditions has become considerably important. Well-maintained road surfaces increase road user safety and comfort levels. It is essential to monitor road conditions continuously to enhance the transportation system in terms of driving safety and comfort. In Canada, authorities responsible for road surface maintenance have to deal with complaints concerning the poor surface conditions of roadways, during the winter months. One of the main indicators used to determine road surface conditions is the density of road surface anomalies [1]. Municipalities typically rely on statistical data derived from collected road surface information, visual field inspections, or vehicles outfitted with special instruments which measure and monitor road surface conditions. ARAN (Automated Road Analyzer), which is widely used for road monitoring in Canada, and ROMDAS
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