Abstract
Well maintained road network is an essential requirement for the safety and consistency of vehicles moving on that road and the wellbeing of people in those vehicles. On the other hand, guaranteeing an adequate maintenance by road managers can be achieved via having sufficient and accurate information concerning road infrastructure quality that can be as well utilized concurrently by the widespread means of users’ mobile devices both locally and worldwide. This article proposes a road condition monitoring framework that detects the road anomalies such as speed bumps. In the proposed approach, the main indicator for road anomalies is the gyroscope around gravity rotation in addition to the accelerometer sensor as a cross-validation method to confirm the detection results that were gathered from the gyroscope.
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References
Perttunen, M., et al.: Distributed road surface condition monitoring using mobile phones. In: Hsu, C.-H., Yang, L.T., Ma, J., Zhu, C. (eds.) UIC 2011, vol. 6905, pp. 64–78. Springer, Heidelberg (2011)
Douangphachanh, V., Oneyama, H.: A Study on the Use of Smartphones for Road Roughness Condition Estimation. Proceedings of the Eastern Asia Society for Transportation Studies 9 (2013)
Mednis, A., Strazdins, G., Zviedris, R., Kanonirs, G., Selavo, L.: Real time pothole detection using Android smartphones with accelerometers. In: International Conference on Distributed Computing in Sensor Systems and Workshops (DCOSS), pp. 27–29 (2011)
De Zoysa, K., Keppitiyagama, C., Seneviratne, G.P., Shihan, W.W.A.T.: A public transport system based sensor network for road surface condition monitoring. In: Proceedings of the 2007 Workshop on Networked Systems for Developing Regions, p. 9. ACM (2007)
Eriksson, J., Girod, L., Hull, B., Newton, R., Madden, S., Balakrishnan, H.: The pothole patrol: using a mobile sensor network for road surface monitoring. In: Proceedings of the 6th International Conference on Mobile Systems, Applications, and Services, pp. 29–39. ACM (2008)
Mednis, A., Elsts, A., Selavo, L.: Embedded solution for road condition monitoring using vehicular sensor networks. In: 2012 6th International Conference on Application of Information and Communication Technologies (AICT), pp. 1–5. IEEE (2012)
Strazdins, G., Mednis, A., Kanonirs, G., Zviedris, R., Selavo, L.: Towards Vehicular Sensor Networks with Android Smartphones for Road Surface Monitoring. In: Electronic Proceedings of CPS Week 2nd International Workshop on Networks of Cooperating Objects (CONET 2011), vol. 11 (2011)
Forslf, L.: RoadroidSmartphone Road Quality Monitoring. In: 19th ITS World Congress (October 2012)
González-Gurrola, L.C., MartĂnez-Reyes, F., Carlos-Loya, M.R.: The Citizen Road Watcher – Identifying Roadway Surface Disruptions Based on Accelerometer Patterns. In: Urzaiz, G., Ochoa, S.F., Bravo, J., Chen, L.L., Oliveira, J. (eds.) UCAmI 2013. LNCS, vol. 8276, pp. 374–377. Springer, Heidelberg (2013)
Johnson, D.A., Trivedi, M.M.: Driving style recognition using a smartphone as a sensor platform. In: 2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC), pp. 1609–1615. IEEE (2011)
Boonstra, M.C., van der Slikke, R., Keijsers, N.L.W., van Lummel, R.C., de Waal Malefijt, M.C., Verdonschot, N.: The accuracy of measuring the kinematics of rising from a chair with accelerometers and gyroscopes. Journal of Biomechanics 39(2), 354–358 (2006)
Wu, Q., Zhou, D.-X.: Analysis of support vector machine classification. J. Comput. Anal. Appl. 8, 99–119 (2006)
Zawbaa, H.M., El-Bendary, N., Hassanien, A.E., Abraham, A.: SVM-based Soccer Video Summarization System. In: Proceedings of the Third IEEE World Congress on Nature and Biologically Inspired Computing (NaBIC 2011), Salamanca, Spain, pp. 7–11 (2011)
Zawbaa, H.M., El-Bendary, N., Hassanien, A.E., Kim, T.-h.: Machine Learning-Based Soccer Video Summarization System. In: Kim, T.-h., Gelogo, Y. (eds.) MulGraB 2011, Part II. CCIS, vol. 263, pp. 19–28. Springer, Heidelberg (2011)
Butterworth, S.: On the theory of filter amplifiers. Wireless Engineer 7, 536–541 (1930)
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Mohamed, A. et al. (2015). RoadMonitor: An Intelligent Road Surface Condition Monitoring System. In: Filev, D., et al. Intelligent Systems'2014. Advances in Intelligent Systems and Computing, vol 323. Springer, Cham. https://doi.org/10.1007/978-3-319-11310-4_33
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DOI: https://doi.org/10.1007/978-3-319-11310-4_33
Publisher Name: Springer, Cham
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