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Sensors 2018, 18(11), 3845;

Road Surface Monitoring Using Smartphone Sensors: A Review

Department of Civil Engineering, Ryerson University, Toronto, ON M5B 2K3, Canada
Author to whom correspondence should be addressed.
Received: 29 August 2018 / Revised: 25 October 2018 / Accepted: 6 November 2018 / Published: 9 November 2018
(This article belongs to the Section Intelligent Sensors)
Full-Text   |   PDF [1028 KB, uploaded 9 November 2018]   |  


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. View Full-Text
Keywords: smartphone sensors; road surface anomaly; crowdsourcing smartphone sensors; road surface anomaly; crowdsourcing

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Sattar, S.; Li, S.; Chapman, M. Road Surface Monitoring Using Smartphone Sensors: A Review. Sensors 2018, 18, 3845.

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