Design and Implementation of Proficient Technique for Prevention of Road Accidents

B. Paulchamy *, R. Priyadharsini **, K. Mahendrakan ***
*-*** Department of Electronics and Communication Engineering, Hindusthan Institute of Technology, Coimbatore, Tamil Nadu, India.
Periodicity:July - December'2020
DOI : https://doi.org/10.26634/jes.9.1.17657

Abstract

Road accidents have become the major issue during these days. Accidents bring loss to our economy. Much remarkable work has been done on the driver alert system through this project. Using the ARDUINO series of Microcontrollers with compatible sensors and components, the accidents could be reduced in an efficient way. Alcohol sensor senses, whether the driver is in a drunken condition and sends signal through a message using GSM and the vehicle will automatically stop. If the driver is drowsy, eye blink sensor detects the drowsiness and alerts the driver. Auto-dimmable headlights gain attention due to danger caused by sudden glare on drivers at night conditions which makes automatic dimming of headlight necessary by placing a wireless transmitter and receiver on both the vehicles. The mechanical parameters such as engine failure, brake failure, etc. are also analyzed. Brake failure sensor and fuel dry sensor is used to analyze whether the brake has a failure and whether the fuel is nearing the empty condition or not. It is also an essential one for both vehicle and the driver's safety measure like accident avoidance in the realistic driving conditions.

Keywords

Speed Control, Driver Drowsiness, Brake Failure, Fuel Dryness, Headlight Dimming.

How to Cite this Article?

Paulchamy, B., Priyadharsini, R., and Mahendrakan, K. (2020). Design and Implementation of Proficient Technique for Prevention of Road Accidents i-manager's Journal on Embedded Systems, 9(1), 6-11. https://doi.org/10.26634/jes.9.1.17657

References

[1]. Ali, H. M., & Alwan, Z. S. (2015). Car accident detection and notification system using smartphone, International Journal of Computer Science and Mobile Computing (IJCSMC), 4(4), 620-635.
[2]. Bhumkar, S. P., Deotare, V. V., & Babar, R. V. (2012). Accident avoidance and detection on highways. International Journal of Engineering Trends and Technology, 3(2), 247-252.
[3]. Chaudhari, P. P., & Naik, R. B. (2016). Vehicle monitoring system for accident detection. International Journal of Science and Research (IJSR), 5(5), 2008-2012.
[4]. John, H., Vishnu, G., & Panos, M. (2008). Accident Prevention Based on Automatic Detection of Accident Prone Traffic Conditions: Phase I (Report no. CTS 08-12) University of Minnesota Center for Transportation Studies. Retrieved from https://conservancy.umn.edu/handle/112 99/96633
[5]. Kasde, R., & Gugapriya, G. (2016). Accident avoidance system using CAN. Indian Journal of Science and Technology, 9(30), 1-8. https://doi.org/10.17485/ijst/20 16/v9i30/99027
[6]. Lee, S., Tewolde, G., & Kwon, J. (2014, March). Design and implementation of vehicle tracking system using GPS/GSM/GPRS technology and smartphone application. In 2014, IEEE World Forum on Internet of Things (WF-IoT) (pp. 353- 358). IEEE. https://doi.org/10.1109/WF-IoT.2014.6803187
[7]. Ministry of Road Transport & Highways. (2015). Road Accidents in India (pp. 1-112). New Delhi, India: Government of India. Retrieved from https://morth.nic.in/ sites/default/files/Road_Accidents_in_India_2015.pdf
[8]. Mukhtar, A., Xia, L., & Tang, T. B. (2015). Vehicle detection techniques for collision avoidance systems: A review. IEEE Transactions on Intelligent Transportation Systems, 16(5), 2318-2338. https://doi.org/10.1109/TITS.20 15.2409109
[9]. Priyanga, R., Kumar, D. R., & Yamini, E. J. (2014). Sensor based accident detection and prevention technology. International Journal of Advanced Technology in Engineering and Science, 2(11), 156-161.
[10]. Raya, M., & Hubaux, J. P. (2005, November). The security of vehicular ad hoc networks. In Proceedings of the rd 3 ACM Workshop on Security of Ad hoc and Sensor Networks (pp. 11-21). https://doi.org/10.1145/1102219.11 02223
[11]. Sivaraman, S., & Trivedi, M. M. (2013). Vehicle detection by independent parts for urban driver assistance. IEEE Transactions on Intelligent Transportation Systems, 14(4), 1597-1608. https://doi.org/10.1109/TITS.2013.2264314
[12]. Srijayathi, K., & Vedachary, M. (2013). Implementation of driver drowsiness detection system. International Journal of Science, Engineering and Technology Research (IJSETR), 2(9), 1751-1754.
[13]. Sun, Z., Bebis, G., & Miller, R. (2004, October). On-road vehicle detection using optical sensors: A review. In th Proceedings of 7 International IEEE Conference on Intelligent Transportation Systems (pp. 585-590). IEEE. https://doi.org/10.1109/ITSC.2004.1398966
[14]. Varma, A. R., Arote, S. V., Bharti, C., & Singh, K. (2012). Accident prevention using eye blinking and head movement. IJCA Proceedings on Emerging Trends in Computer Science and Information Technology - 2012 (ETCSIT2012), (pp. 18-22).
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