{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T20:36:46Z","timestamp":1782938206407,"version":"3.54.5"},"reference-count":59,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2018,11,9]],"date-time":"2018-11-09T00:00:00Z","timestamp":1541721600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100000038","name":"Natural Sciences and Engineering Research Council of Canada","doi-asserted-by":"publisher","award":["RGPIN-2017-05950"],"award-info":[{"award-number":["RGPIN-2017-05950"]}],"id":[{"id":"10.13039\/501100000038","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3390\/s18113845","type":"journal-article","created":{"date-parts":[[2018,11,13]],"date-time":"2018-11-13T03:27:31Z","timestamp":1542079651000},"page":"3845","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":179,"title":["Road Surface Monitoring Using Smartphone Sensors: A Review"],"prefix":"10.3390","volume":"18","author":[{"given":"Shahram","family":"Sattar","sequence":"first","affiliation":[{"name":"Department of Civil Engineering, Ryerson University, Toronto, ON M5B 2K3, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8244-5681","authenticated-orcid":false,"given":"Songnian","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Civil Engineering, Ryerson University, Toronto, ON M5B 2K3, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Michael","family":"Chapman","sequence":"additional","affiliation":[{"name":"Department of Civil Engineering, Ryerson University, Toronto, ON M5B 2K3, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2018,11,9]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Strutu, M., Stamatescu, G., and Popescu, D. (2013, January 11\u201313). A mobile sensor network based road surface monitoring system. Proceedings of the 2013 17th International Conference on System Theory, Control and Computing (ICSTCC), Sinaia, Romania.","DOI":"10.1109\/ICSTCC.2013.6689030"},{"key":"ref_2","unstructured":"Buza, E., Omanovic, S., and Huseinovic, A. (2013, January 27\u201328). Pothole detection with image processing and spectral clustering. Proceedings of the 2nd International Conference on Information Technology and Computer Networks, Athens, Greece."},{"key":"ref_3","unstructured":"Kelvin, C. (2004). Automated Pavement Distress Survey through Stereovision, National Academy of Sciences. Technical Report of Highway IDEA Project."},{"key":"ref_4","unstructured":"Vijay, S., and Arya, K. (2006). Low Cost\u2014FPGA Based System for Pothole Detection on Indian Roads. [Master\u2019s Thesis, Indian Institute of Technology Bombay]."},{"key":"ref_5","unstructured":"Salari, E., Chou, E., and Lynch, J.J. (2012). Pavement Distress Evaluation Using 3d Depth Information from Stereo Vision, The University of Toledo. Technical Report."},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Moazzam, I., Kamal, K., Mathavan, S., Usman, S., and Rahman, M. (2013, January 6\u20139). Metrology and visualization of potholes using the microsoft kinect sensor. Proceedings of the 2013 16th International IEEE Conference on Intelligent Transportation Systems-(ITSC), The Hague, The Netherlands.","DOI":"10.1109\/ITSC.2013.6728408"},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Hou, Z., Wang, K.C., and Gong, W. (2007, January 22\u201324). Experimentation of 3D pavement imaging through stereovision. Proceedings of the International Conference on Transportation Engineering 2007, Chengdu, China.","DOI":"10.1061\/40932(246)62"},{"key":"ref_8","first-page":"603","article-title":"Review and analysis of pothole detection methods","volume":"5","author":"Kim","year":"2014","journal-title":"J. Emerg. Trends Comput. Inf. Sci."},{"key":"ref_9","first-page":"869627","article-title":"A real-time pothole detection approach for intelligent transportation system","volume":"2015","author":"Wang","year":"2015","journal-title":"Math. Probl. Eng."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"295","DOI":"10.1016\/j.rse.2014.11.001","article-title":"Urban land cover classification using airborne LiDAR data: A review","volume":"158","author":"Yan","year":"2015","journal-title":"Remote Sens. Environ."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"376","DOI":"10.1080\/15472450.2017.1366320","article-title":"A low-cost video-based pavement distress screening system for low-volume roads","volume":"22","author":"Yan","year":"2018","journal-title":"J. Intell. Transp. Syst."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"697","DOI":"10.1109\/TPAMI.1986.4767851","article-title":"A computational approach to edge detection","volume":"PAMI-8","author":"Canny","year":"1986","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"370","DOI":"10.1061\/(ASCE)CP.1943-5487.0000232","article-title":"Pothole detection with image processing and spectral clustering","volume":"27","author":"Koch","year":"2013","journal-title":"J. Comput. Civ. Eng."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Jog, G., Koch, C., Golparvar-Fard, M., and Brilakis, I. (2012, January 17\u201320). Pothole properties measurement through visual 2D recognition and 3D reconstruction. Proceedings of the 2012 ASCE International Workshop on Computing in Civil Engineering, Clearwater, FL, USA.","DOI":"10.1061\/9780784412343.0070"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"312","DOI":"10.1016\/j.sbspro.2013.11.124","article-title":"Method for automated assessment of potholes, cracks and patches from road surface video clips","volume":"104","author":"Huidrom","year":"2013","journal-title":"Procedia Soc. Behav. Sci."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1061\/(ASCE)TE.1943-5436.0000564","article-title":"Robust method for automated segmentation of frames with\/without distress from road surface video clips","volume":"140","author":"Lokeshwor","year":"2013","journal-title":"J. Transp. Eng."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Zang, K., Shen, J., Huang, H., Wan, M., and Shi, J. (2018). Assessing and mapping of road surface roughness based on GPS and accelerometer sensors on bicycle-mounted smartphones. Sensors, 18.","DOI":"10.3390\/s18030914"},{"key":"ref_18","unstructured":"Estrin, D., Hansen, M., Parker, A., Ramanathan, N., Burke, J.A., Reddy, S., and Srivastava, M.B. (2006). Participatory Sensing, UCLA."},{"key":"ref_19","unstructured":"Sinharay, A., Bilal, S., Pal, A., and Sinha, A. (2013, January 13\u201315). Low computational approach for road condition monitoring using smartphones. Proceedings of the Computer Society of India (CSI) Annual Convention, Theme: Intelligent Infrastructure, Visakhapatnam, India."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Fox, A., Kumar, B.V., Chen, J., and Bai, F. (2015, January 22\u201325). Crowdsourcing undersampled vehicular sensor data for pothole detection. Proceedings of the 2015 12th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON), Seattle, WA, USA.","DOI":"10.1109\/SAHCN.2015.7338353"},{"key":"ref_21","unstructured":"Yagi, K. (2010, January 25\u201329). Extensional smartphone probe for road bump detection. Proceedings of the 17th ITS World Congress (ITS Japan and ITS America ERTICO), Busan, Korea."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Douangphachanh, V., and Oneyama, H. (2014, January 1\u20133). Exploring the use of smartphone accelerometer and gyroscope to study on the estimation of road surface roughness condition. Proceedings of the 2014 11th International Conference on Informatics in Control, Automation and Robotics (ICINCO), Vienna, Austria.","DOI":"10.5220\/0005117407830787"},{"key":"ref_23","unstructured":"Android (2018, November 08). Documentation for App Developers. Available online: https:\/\/developer.android.com\/docs\/."},{"key":"ref_24","unstructured":"Data, M.C. (2016). Secondary Analysis of Electronic Health Records, Springer."},{"key":"ref_25","unstructured":"Smith, S.W. (1997). The Scientist and Engineer\u2019s Guide to Digital Signal Processing, California Technical Publishing."},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Noureldin, A., Karamat, T.B., and Georgy, J. (2013). Basic Navigational Mathematics, Reference Frames and the Earth\u2019s Geometry. Fundamentals of Inertial Navigation, Satellite-Based Positioning and Their Integration, Springer.","DOI":"10.1007\/978-3-642-30466-8"},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Bhoraskar, R., Vankadhara, N., Raman, B., and Kulkarni, P. (2012, January 3\u20137). Wolverine: Traffic and road condition estimation using smartphone sensors. Proceedings of the 2012 Fourth International Conference on Communication Systems and Networks (COMSNETS), Bangalore, India.","DOI":"10.1109\/COMSNETS.2012.6151382"},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Perttunen, M., Mazhelis, O., Cong, F., Kauppila, M., Lepp\u00e4nen, T., Kantola, J., Collin, J., Pirttikangas, S., Haverinen, J., and Ristaniemi, T. (2011). Distributed road surface condition monitoring using mobile phones. International Conference on Ubiquitous Intelligence and Computing, Springer.","DOI":"10.1007\/978-3-642-23641-9_8"},{"key":"ref_29","unstructured":"Jain, M., Singh, A.P., Bali, S., and Kaul, S. (2012, January 15). Speed-Breaker Early Warning System. Proceedings of the NSDR: 6th USENIX\/ACM Workshop on Networked Systems for Developing Regions, Boston, MA, USA."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Mohamed, A., Fouad, M.M.M., Elhariri, E., El-Bendary, N., Zawbaa, H.M., Tahoun, M., and Hassanien, A.E. (2015). RoadMonitor: An intelligent road surface condition monitoring system. Intelligent Systems 2014, Springer.","DOI":"10.1007\/978-3-319-11310-4_33"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"2059","DOI":"10.3390\/s150102059","article-title":"A survey of online activity recognition using mobile phones","volume":"15","author":"Shoaib","year":"2015","journal-title":"Sensors"},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Douangphachanh, V., and Oneyama, H. (2013, January 5\u20137). Estimation of road roughness condition from smartphones under realistic settings. Proceedings of the 2013 13th International Conference on ITS Telecommunications (ITST), Tampere, Finland.","DOI":"10.1109\/ITST.2013.6685585"},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Sebestyen, G., Muresan, D., and Hangan, A. (2015, January 27\u201330). Road quality evaluation with mobile devices. Proceedings of the 2015 16th International Carpathian Control Conference (ICCC), Szilvasvarad, Hungary.","DOI":"10.1109\/CarpathianCC.2015.7145123"},{"key":"ref_34","unstructured":"Seraj, F., van der Zwaag, B.J., Dilo, A., Luarasi, T., and Havinga, P. (2014). RoADS: A road pavement monitoring system for anomaly detection using smart phones. Big Data Analytics in the Social and Ubiquitous Context, Springer."},{"key":"ref_35","first-page":"536","article-title":"On the theory of filter amplifiers","volume":"7","author":"Butterworth","year":"1930","journal-title":"Wirel. Eng."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"5192","DOI":"10.1109\/JSEN.2017.2719865","article-title":"Vehicle vibration signal processing for road surface monitoring","volume":"17","author":"Harikrishnan","year":"2017","journal-title":"IEEE Sens. J."},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Mohan, P., Padmanabhan, V.N., and Ramjee, R. (2008, January 5\u20137). Nericell: Rich monitoring of road and traffic conditions using mobile smartphones. Proceedings of the 6th ACM Conference on Embedded Network Sensor Systems, Raleigh, NC, USA.","DOI":"10.1145\/1460412.1460444"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"242","DOI":"10.1016\/j.sbspro.2014.01.057","article-title":"Automated sensing system for monitoring of road surface quality by mobile devices","volume":"111","author":"Vittorio","year":"2014","journal-title":"Procedia Soc. Behav. Sci."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1016\/j.pmcj.2017.06.002","article-title":"Smart patrolling: An efficient road surface monitoring using smartphone sensors and crowdsourcing","volume":"40","author":"Singh","year":"2017","journal-title":"Pervasive Mob. Comput."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"415","DOI":"10.1016\/j.procs.2017.11.056","article-title":"Anomaly detection in roads with a data mining approach","volume":"121","author":"Silva","year":"2017","journal-title":"Procedia Comput. Sci."},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Mednis, A., Strazdins, G., Zviedris, R., Kanonirs, G., and Selavo, L. (2011, January 27\u201329). Real time pothole detection using android smartphones with accelerometers. Proceedings of the 2011 International Conference on Distributed Computing in Sensor Systems and Workshops (DCOSS), Barcelona, Spain.","DOI":"10.1109\/DCOSS.2011.5982206"},{"key":"ref_42","first-page":"29","article-title":"A method for estimating road surface conditions with a smartphone","volume":"7","author":"Nomura","year":"2015","journal-title":"Int. J. Inf. Soc."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"1905","DOI":"10.1109\/TITS.2014.2378511","article-title":"Toward crowdsourcing-based road pavement monitoring by mobile sensing technologies","volume":"16","author":"Yi","year":"2015","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"ref_44","unstructured":"Bishop, C.M. (2011). Pattern Recognition and Machine Learning (Information Science and Statistics), Springer."},{"key":"ref_45","unstructured":"Senin, P. (2008). Dynamic Time Warping Algorithm Review, Information and Computer Science Department University of Hawaii Manoa."},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Eriksson, J., Girod, L., Hull, B., Newton, R., Madden, S., and Balakrishnan, H. (2008, January 17\u201320). The pothole patrol: Using a mobile sensor network for road surface monitoring. Proceedings of the 6th International Conference on Mobile Systems, Applications, and Services, Breckenridge, CO, USA.","DOI":"10.1145\/1378600.1378605"},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Alessandroni, G., Carini, A., Lattanzi, E., Freschi, V., and Bogliolo, A. (2017). A study on the influence of speed on road roughness sensing: The SmartRoadSense case. Sensors, 17.","DOI":"10.3390\/s17020305"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/S0167-2789(00)00159-7","article-title":"Detecting and evaluating intrinsic nonlinearity present in the mutual dependence between two variables","volume":"147","author":"Tanaka","year":"2000","journal-title":"Phys. D Nonlinear Phenom."},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Chen, K., Lu, M., Tan, G., and Wu, J. (2013, January 13\u201315). CRSM: Crowdsourcing based road surface monitoring. Proceedings of the 2013 IEEE 10th International Conference on High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing (HPCC_EUC), Zhangjiajie, China.","DOI":"10.1109\/HPCC.and.EUC.2013.308"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"1741","DOI":"10.1109\/ACCESS.2017.2780182","article-title":"Latent Dirichlet Truth Discovery: Separating Trustworthy and Untrustworthy Components in Data Sources","volume":"6","author":"Zhang","year":"2018","journal-title":"IEEE Access"},{"key":"ref_51","unstructured":"Alessandroni, G., Klopfenstein, L., Delpriori, S., Dromedari, M., Luchetti, G., Paolini, B., Seraghiti, A., Lattanzi, E., Freschi, V., and Carini, A. (2014, January 24\u201328). Smartroadsense: Collaborative road surface condition monitoring. Proceedings of the UBICOMM-2014 IARIA, Rome, Italy."},{"key":"ref_52","unstructured":"Wallin, J., and Zachrisson, J. (2013). Sensor Fusion in Smartphones: With Application to Car Racing Performance Analysis, Department of Electrical Engineering, Linkopings Universite."},{"key":"ref_53","doi-asserted-by":"crossref","unstructured":"Dunkel, J., Bruns, R., and Stipkovic, S. (2013, January 6\u20138). Event-based smartphone sensor processing for ambient assisted living. Proceedings of the 2013 IEEE Eleventh International Symposium on Autonomous Decentralized Systems (ISADS), Mexico City, Mexico.","DOI":"10.1109\/ISADS.2013.6513422"},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1109\/TVT.2011.2164428","article-title":"Performance of the 802.11 p physical layer in vehicle-to-vehicle environments","volume":"61","author":"Fernandez","year":"2012","journal-title":"IEEE Trans. Veh. Technol."},{"key":"ref_55","first-page":"23","article-title":"Geolocation positioning with wireless cellular network in Hong Kong","volume":"15","author":"Mok","year":"2004","journal-title":"Hong Kong Inst. Surv. J."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1111\/j.1467-9671.2009.01152.x","article-title":"Accuracy of iPhone locations: A comparison of assisted GPS, WiFi and cellular positioning","volume":"13","author":"Zandbergen","year":"2009","journal-title":"Trans. GIS"},{"key":"ref_57","doi-asserted-by":"crossref","unstructured":"Pun-Cheng, L.S.C., Mok, E.C.M., Shea, G.Y.K., and Yan, W.Y. (2007). EASYGO\u2014A public transport query and guiding LBS. Location Based Services and Telecartography, Springer.","DOI":"10.1007\/978-3-540-36728-4_38"},{"key":"ref_58","doi-asserted-by":"crossref","unstructured":"Silva, C.M., Masini, B.M., Ferrari, G., and Thibault, I. (2017). A survey on infrastructure-based vehicular networks. Mob. Inf. Syst., 2017.","DOI":"10.1155\/2017\/6123868"},{"key":"ref_59","doi-asserted-by":"crossref","unstructured":"Masini, B., Bazzi, A., and Zanella, A. (2018). A Survey on the Roadmap to Mandate on Board Connectivity and Enable V2V-Based Vehicular Sensor Networks. Sensors, 18.","DOI":"10.3390\/s18072207"}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/18\/11\/3845\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T15:28:51Z","timestamp":1760196531000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/18\/11\/3845"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,11,9]]},"references-count":59,"journal-issue":{"issue":"11","published-online":{"date-parts":[[2018,11]]}},"alternative-id":["s18113845"],"URL":"https:\/\/doi.org\/10.3390\/s18113845","relation":{"has-preprint":[{"id-type":"doi","id":"10.32920\/14638491","asserted-by":"object"},{"id-type":"doi","id":"10.32920\/14638491.v1","asserted-by":"object"}],"is-referenced-by":[{"id-type":"doi","id":"10.1007\/s43926-025-00198-2","asserted-by":"object"}]},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,11,9]]}}}