Author : Bharath M 1
Date of Publication :7th January 2016
Abstract: The main aim of this project is to implement a rash-driving-detection system in cities that alerts traffic control authorities wirelessly in case of speed violation by any vehicle. Nowadays, accidents are taking place frequently in the cities due to over speeding of vehicles resulting in many casualties. In the current systems, to detect rash driving, policemen use a handheld radar gun to record vehicle speed. Our proposed system fulfills that requirement through wireless mechanism as it consists of two blocks: transmitter and receiver; both use a microcontroller of the 8051 family and a rectified-power supply. This project consists of an RF transceiver module operating at 2.4 GHz. Relative Rash driving is detected by the sensor which is interfaced to the microcontroller at the transmitting end and by using the appropriate control signals and equipments, the traffic authorities are notified.
- Zutao Zhang, Jiashu Zhang, ―A Novel Vehicle Safety Model: Vehicle speed Controller under Driver Fatigue‖, IJCSNS International Journal of Computer Science and Network Security‖, VOL.9 No.1, January 2009
- M. Bertozzi, A. Broggi, M. Cellario, A. Fascioli, P. Lombardi, and M.Porta, ―Artifical vision in road vehicles,‖ Proceedings of the IEEE, vol.90,no. 7, pp. 1258–1271, 2002
- S. Tsugawa and Sadayuki, ―Vision-based vehicle on japan: Machine vision systems and driving control systems,‖ IEEE Trans.on Ind. El.???, vol.41, no. 4, pp. 398–405, 1994.
- Vehicle-highway automation activities in the United States. U.S.Dept of Transportation, 1997.
- C. Thorpe, J.D. Carlson, D. Duggins, J. Gowdy, R. MacLachlan, C. Mertz,A. Suppe, and C. Wan, ―Safe robot driving in cluttered environments,‖ 11th International Symposium of Robotics Research,2003.
- Qian Martin Eriksson, Nikolaos P. Papanikolopoulos, Eye-Tracking for Detection of Driver fatigue. Proceedings of the international Conference on intelligent Transportation System,Boston, MA, November 1997, pp.314-319.
- Qiang Ji, Zhiwei Zhu, and Peilin Lan, Real-Time Nonintrusive Monitoring and Prediction of Driver Fatigue. IEEE Transactions on Vehicular Technology, VOL. 53, NO.4, July2004,pp.1052-1068.