Development of a Laboratory Model for Automated Road Defect Detection

Authors

  • H. Bello-Salau Department of Telecommunication Engineering, Federal University of Technology Minna, Niger State, Nigeria
  • A.M Aibinu Department of Mechatronics Engineering, Federal University of Technology Minna, Niger State, Nigeria
  • E.N. Onwuka Department of Telecommunication Engineering, Federal University of Technology Minna, Niger State, Nigeria
  • J.J. Dukiya Department of Transport Management, Federal University of Technology Minna, Niger State, Nigeria
  • A.J. Onumanyi Department of Telecommunication Engineering, Federal University of Technology Minna, Niger State, Nigeria
  • A.O. Ighabon Department of Telecommunication Engineering, Federal University of Technology Minna, Niger State, Nigeria

Keywords:

Accident, GPS, Potholes Detection, Road Bumps, Ultrasonic Sensor,

Abstract

Potholes and bumps are responsible for a large number of accidents on roads, leading to the loss of lives and properties. Developing proactive and early detection measures will be an effective approach for reducing accidents, and a source of information for timely road maintenance. Consequently, a laboratory model of a road defect detection system is proposed using a combination of an Ultrasonic sensor, a Global Positioning System (GPS) and an alert system. The methodology used involved computing the best placement for the ultrasonic sensor, and developing an algorithm for detecting the presence/absence of bumps or potholes using the time taken to receive reflected pulse signals. This laboratory model is also capable of logging road profile information to a database where vehicle users and road maintenance agencies can access for planning route movement and prioritising road repairs.

References

FRSC, "Report on Road Traffic Crashes involving Cars, Buses, Tankers and Trailers in Nigeria”, [Online]. Available: http://frsc.gov.ng/publications.

H. Bello-Salau, A. M. Aibinu, E. N. Onwuka, J. J. Dukiya, and A. J. Onumanyi, "Image processing techniques for automated road defect detection: A survey," In Proceedings of 11th International Conference on Electronics, Computer and Computation (ICECCO), 2014, pp. 1-4.

Femi, "Road crashes trends and safety management in Nigeria," Journal of Geography and Regional Planning, vol. 6, pp. 53-62, 2013.

S. A. Femi, "Building sustainable policy framework for transport development: A review of national transport policy initiatives in Nigeria," Journal of Sustainable Development Studies, vol. 2, 2013.

FRSC. Safety Guidelines for Articulated Lorries [Online]. Available: frsc.gov.ng/publications

Mednis, A. Elsts, and L. Selavo, "Embedded solution for road condition monitoring using vehicular sensor networks," in proceedings of 6th International Conference on Application of Information and Communication Technologies (AICT ), 2012, pp. 1-5.

H. Bello-Salau, A. M. Aibinu, E. N. Onwuka, J. J. Dukiya, M. E. Bima, A. J. Onumanyi, and T. A. Folorunso, "A New Measure for Analysing Accelerometer Data towards Developing Efficient Road Defect Profiling Systems," Journal of Scientific Research & Reports, vol. 7, pp. 108-116, 2015.

Q. Li and X. Liu, "Novel approach to pavement image segmentation based on neighboring difference histogram method," In Proceedings of Congress of Image and Signal Processing (CISP'08), 2008, pp. 792-796.

E. Salari and X. Yu, "Pavement distress detection and classification using a Genetic Algorithm," In Proceedings of IEEE Workshop on Applied Imagery and Pattern Recognition (AIPR), 2011, pp. 1-5.

Koch and I. Brilakis, "Pothole detection in asphalt pavement images," Advanced Engineering Informatics, vol. 25, pp. 507-515, 2011.

L. C. González-Gurrola, F. Martínez-Reyes, and M. R. Carlos-Loya, "The Citizen Road Watcher–Identifying Roadway Surface Disruptions Based on Accelerometer Patterns," In Proceedings of International Conference on Ubiquitous Computing and Ambient Intelligence. Springer, 2013, pp. 374-377.

Douangphachanh, and H. Oneyama, “A study on the use of smartphones for road roughness condition estimation”, Journal of the Eastern Asia Society for Transportation Studies, 10(0), pp 1551-1564, 2013.

F. Seraj, B. J. V. D. Zwaag, A. D. T. Luarasi, and P. Havinga, "RoADS: A road pavement monitoring system for anomaly detection using smart phones," In Proceedings of the 1st International Workshop on Machine Learning for Urban Sensor Data, (SenseML), Netherlands, 2014.

N. Akhtar, K. Pandey, and S. Gupta, "Mobile Application for Safe Driving," In Proceedings of Fourth International Conference on Communication Systems and Network Technologies (CSNT), 2014, pp. 212-216.

Vittorio, V. Rosolino, I. Teresa, C. M. Vittoria, and P. G. Vincenzo, "Automated sensing system for monitoring of road surface quality by mobile devices," Procedia-Social and Behavioral Sciences, vol. 111, pp. 242-251, 2014.

K. De Zoysa, C. Keppitiyagama, G. P. Seneviratne, and W. 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, 2015, pp 9.

J. Eriksson, L. Girod, B. Hull, R. Newton, S. Madden, and H. Balakrishnan, "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, 2008, pp. 29-39.

R. Madli, S. Hebbar, and P. Pattar, "Automatic Detection and Notification of Potholes and Humps on Roads to Aid Drivers," IEEE Sensors Journal vol. 15 pp. 4313 - 4318, 2015.

Danti, J. Y. Kulkarni, and P. Hiremath, "An Image Processing Approach to Detect Lanes, Pot Holes and Recognize Road Signs in Indian Roads," International Journal of Modeling and Optimization, vol. 2, pp. 658-662, 2012.

X. Yu and E. Salari, "Pavement pothole detection and severity measurement using laser imaging," In proceedings of IEEE International Conference on Electrinic/Information Technology (EIT), 2011, pp. 1-5.

M. Strutu, G. Stamatescu, and D. Popescu, "A mobile sensor network based road surface monitoring system," in proceedings of 17th International Conference on System Theory, Control and Computing (ICSTCC) 2013, pp. 630-634.

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Published

2016-12-01

How to Cite

Bello-Salau, H., Aibinu, A., Onwuka, E., Dukiya, J., Onumanyi, A., & Ighabon, A. (2016). Development of a Laboratory Model for Automated Road Defect Detection. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 8(9), 97–101. Retrieved from https://jtec.utem.edu.my/jtec/article/view/927