ROAD MONITORING SYSTEM BASED ON IOT TECHNOLOGY FOR SMARTCITY
DOI:
https://doi.org/10.20535/2708-4930.1.2020.216061Keywords:
Internet of Things, SmartCity, Potholes detection, Accelerometer, SPI, STM32, Road surface analysis.Abstract
This work is devoted to the problem of automatic road quality control, which can be used by both road repair services and common drivers. This paper provides a survey of different known techniques and algorithms of finding potholes on the road and describe our own method, using accelerometer. It will be shown our device for detecting potholes on the road, which can be used, as a part of the IoT system of SmartCity. It uses data from an accelerometer for finding road bumps.
References
Komninos, N. Intelligent Cities: Innovation, Knowledge Systems, and Digital Spaces; Taylor & Francis: Abingdon, UK, 2002.
R. Bishop, “A survey of intelligent vehicle applications worldwide”, IEEE Intelligent Vehicles Symposium (IV 2000), Dearborn, MI, USA, May, 2000, pp. 25-30.
Devapriya, W.; Babu, C.N.K.; Srihari, T. Real time speed bump detection using Gaussian filtering and connected component approach. In Proceedings of the World Conference on Futuristic Trends in Research and Innovation for Social Welfare (Startup Conclave), Coimbatore, India, 29 February–1 March 2016; pp. 1–5.
Mohamed, A.; Fouad, M.M.M.; Elhariri, E.; El-Bendary, N.; Zawbaa, H.M.; Tahoun, M.; Hassanien, A.E. RoadMonitor: An intelligent road surface condition monitoring system. In Intelligent Systems’ 2014; Springer: Berlin, Germany, 2015; pp. 377–387.
Y.-c. Tai, C.-w. Chan, and J. Y.-j. Hsu, “Automatic road anomaly detection using smart mobile device,” in Proceedings of the2010 Conference on Technologies and Applications of Artificial Intelligence (TAAI2010), November 2010
De Zoysa, Kasun, Chamath Keppitiyagama, Gihan P. Seneviratne, and W. W. A. T. Shihan. “A public transport system based sensor network for road surface condition monitoring.” In Proceedings of the 2007 workshop on Networked systems for developing regions, pp. 9. ACM, 2007.
Jakob Eriksson, Lewis Girod, Bret Hull, Ryan Newton, Samuel Madden, and Hari Balakrishnan. 2008. 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 (MobiSys ’08). ACM, New York, NY, USA, 29–39.
Marius Hoffmann, Michael Mock, and Michael May. 2013. Road-quality classification and bump detection with bicycle-mounted smartphones. In Proceedings of the 3rd International Conference on Ubiquitous Data Mining-Volume 1088. CEUR-WS. org, 39–43.
Chen, K.; Lu, M.; Fan, X.; Wei, M.; Wu, J. Road condition monitoring using on-board three-axis accelerometer and GPS sensor. In Proceedings of the 2011 6th International ICST Conference on Communications and Networking in China (CHINACOM), Harbin, China, 17–19 August 2011; pp. 1032–1037
Prof.B.Lanjewar, Jyoti Khedkar, Rahul Sagar, Rasika Pawar, Kunal Gosavi. Survey of Road Bump and Intensity Detection algorithms using Smartphone Sensors. B.Lanjewar et al, / (IJCSIT) International Journal of Computer Science and Information Technologies, Vol. 6 (6) , 2015, pp. 5133-5136.
Mednis, A.; Strazdins, G.; Zviedris, R.; Kanonirs, G.; Selavo, L. Real time pothole detection using android smartphones with accelerometers. In Proceedings of the 2011 International Conference on Distributed Computing in Sensor Systems and Workshops (DCOSS), Barcelona, Spain, 27–29 June 2011; pp. 1–6.
Adrian McEwen Designing the Internet of Things / Adrian McEwen, Hakim Cassimally; John Wiley & Sons, 2013.- 336