An IoT Based Driver Assistance System to Detect and Notify the Presence of Potholes and Humps on Roads

International Journal of Computer Trends and Technology (IJCTT)          
© 2019 by IJCTT Journal
Volume-67 Issue-5
Year of Publication : 2019
Authors : Ganga Holi, Rachna Rao
DOI :  10.14445/22312803/IJCTT-V67I5P125


MLA Style:Ganga Holi, Rachna Rao"An IoT Based Driver Assistance System to Detect and Notify the Presence of Potholes and Humps on Roads" International Journal of Computer Trends and Technology 67.5 (2019):146-150.

APA Style: Ganga Holi, Rachna Rao (2019) An IoT Based Driver Assistance System to Detect and Notify the Presence of Potholes and Humps on Roads International Journal of Computer Trends and Technology, 67(5), 146-150.

One of the prime reasons for vehicular accidents is due to undetected potholes and road humps. Potholes force vehicles to slow down in places where the speed of vehicles may be expected to be higher, drivers do not expect to slow down and end up crashing into other vehicles. Some potholes go unattended for several weeks and get deeper with time, so much so that vehicular damage increases by just passing over the pothole. Several lives are lost each year due to pavement distress, and it is high time for a cost-efficient solution to this problem so that it can be implemented immediately. This paper provides a prototype of an IoT based pothole and hump detection system that can be integrated with the vehicle and provide timely information to maintenance authorities so that necessary steps can be taken for safety of drivers.

[1] Maithili Naik, Nischita Jaiwant, Neha M, N.M. Anmol, Prof. R. Mattimani, Dr.R.M.Banakar, "Pothole Detection through IoT ", International Journal of Technology and Science, ISSN (Online) 2350-1111, (Print) 2350-1103 Volume 9, Issue 2, 2016 pp. 23 -26.
[2] H. Youquan, W. Jian, Q. Hanxing, Z. Wei, and X. Jianfang, “A research of pavement potholes detection based on three-dimensional projection transformation,” in Proc. 4th Int. Congr. Image Signal Process (CISP), Oct. 2011, pp. 1805–1808.
[3] J. Lin and Y. Liu, “Potholes detection based on SVM in the pavement distress image,” in Proc. 9th Int. Symp. Distrib. Comput. Appl. Bus. Eng. Sci., Aug. 2010, pp. 544– 547
[4] I. Moazzam, K. Kamal, S. Mathavan, S. Usman, and M. Rahman, “Metrology and visualization of potholes using the microsoft Kinect sensor,” in Proc. 16th Int. IEEE Conf. Intell. Transp. Syst., Oct. 2013, pp. 1284–1291.
[5] S. S. Rode, S. Vijay, P. Goyal, P. Kulkarni, and K. Arya, “Pothole detection and warning system: Infrastructure support and system design,” in Proc. Int. Conf. Electron. Comput. Technol., Feb. 2009, pp. 286–290.
[6] R. Sundar, S. Hebbar, and V. Golla, “Implementing intelligent traffic control system for congestion control, ambulance clearance, and stolen vehicle detection,” IEEE Sensors J., vol. 15, no. 2, pp. 1109–1113, Feb. 2015.
[7] Samyak Kathane, Vaibhav Kambli, Tanil Patel and Rohan Kapadia, “Real Time Potholes Detection and Vehicle Accident Detection and Reporting System and Anti-theft (Wireless)”, IJCTT, Vol. 21, No. 4, March 2015.
[8] Taehyeong Kim, Seung-Ki Ryu, “A Guideline for Pothole Classification”, International Journal of Enginering and Technology (IJET), Vol. 4, No. 10, October 2014.
[9] Gunjan Chugh, Divya Bansal and Sanjeev Sofat, “Road Condition Detection Using Smartphone Sensor: A Survey”, International Journal of Electronic and Electrical Engineering, Vol. 7, No. 6, 2014.
[10] Ajit Danti, Jyoti Y. Kulkarni, and P. S. Hiremath, “An Image Processing Approach to Detect Lanes, Potholes and recognize road Signs in Indian Roads”, International Journal of Modeling and Optimization, Vol. 2, No. 6, December 2012.

IoT, NodeMCU, ultrasonic sensor, FSR.