M.Aishwarya Lakshmi , A. K. Kamalamthangammai, V. Gayathri, R. Renita Rexy Assistant professor
Abstract
An efficient vehicle tracking system is designed and implemented for tracking the movement of any equipment vehicle from any location at any time. The proposed system made good use of a popular technology that combines a application with a microcontroller. The designed in-vehicle device works using GPS and GSM for mobile communication. This paper proposes a novel intelligent system which is able to automatically detect road accidents notify them through vehicular networks and estimate their severity based on the concept of knowledge interference. Using our tracking system we can keep track of the vehicles by periodically using GPS. GPS is one of the technology that are used in a huge number of applications today. One of the applications is tracking your vehicle and keeps regular monitoring on them. This tracking system can inform you the location and route travelled by the vehicle and that information can be observed from any other remote location.
[1]Dirección General de Tráfico (DGT). (2010). The Main Statistics of Road Accidents Spain [Online]. Available: http://www.dgt.es/portal/es/seguridad_vial/estadistica
[2]Eurostat: Statistical Office of the European Communities. (2012) Transport Statistics in the EU [Online]. Available: http://epp.eurostat.ec.europa.eu/portal/page/portal/transport/ data/main_tables
[3]J. Miller, “Vehicle-to-vehicle-to-infrastructure (V2V2I) intelligent transportation system architecture,” in Proc. IEEE Intell. Veh. Symp., Eindhoven, Netherlands, Jun. 2008, pp. 715–720.
[4]F. Martinez, C.-K. Toh, J.-C. Cano, C. Calafate, and P. Manzoni, “Emergency services in future intelligent transportation systems based on vehicular communication networks,” IEEE Intell. Transp. Syst. Mag., vol. 2, no. 2, pp. 6–20, Oct. 2010.
[5]M. Fogue et al., “Prototyping an automatic notification scheme for traffic accidents in vehicular networks,” in Proc. 4th IFIP WD, Niagara Falls, ON, Canada, Oct. 2011.
[6]M. Fogue et al., “Evaluating the impact of a novel message dissemination scheme for vehicular networks using real maps,” Transp. Res. Part C: Emerg. Technol., vol. 25, pp. 61–80, Dec. 2012.
[7]B&B Electronics. (2012). The OBD-II Home Page [Online]. Available: http://www.obdii.com
[8]U. Fayyad, G. Piatetsky-Shapiro, and P. Smyth, “The KDD process for extracting useful knowledge from volumes of data,” Commun. ACM, vol. 39, pp. 27–34, Nov. 1996.
[9]M. Hall et al., “The WEKA data mining software: An update,” SIGKDD Explor., vol. 11, pp. 10–18, Nov. 2009.
[10] European New Car Assessment Programme (Euro NCAP). (2012) Test Procedures [Online]. Available: http://www.euroncap.com/testprocedures.aspx
[11] Nat. Hwy. Traffic Safety Admin. (NHTSA). (2012). National Automotive Sampling System (NASS) and General Estimates System (GES) [Online]. Available: http://www.nhtsa.gov/NASS/
[12] Nat. Hwy. Traffic Safety Admin. (NHTSA). (2012). FTP Site for the General Estimates System (GES) [Online]. Available: ftp://ftp.nhtsa.dot.gov/GES/
[13] K. Yu and E. Dutkiewicz, “Geometry and motion-based positioning algorithms for mobile tracking in NLOS environments,” IEEE Trans. Mobile Comput., vol. 11, no. 2, pp. 254–263, Feb. 2012.
[14] M. Hall, “Correlation-based feature selection for machine learning,” Ph.D. dissertation, Dept. Comput. Sci., Univ. Waikato, Hamilton, New Zealand, 2008.
[15] T. K. Anderson, “Kernel density estimation and K-means clustering to profile road accident hotspots,” Accident Anal. Prev., vol. 41, no. 3, pp. 359–364, 2009.
[M.Aishwarya Lakshmi, A. K. Kamalamthangammai, V. Gayathri, R. Renita Rexy Assistant professor (2015), Finding Hit And Run Vehicle Using GPS Tracker, International Journal of Innovative Research in Computer Science & Technology (IJIRCST), Vol-3, Issue-2, Page No-134-138], (ISSN 2347 - 5552). www.ijircst.org
M.Aishwarya Lakshmi
Electronics and communication, Deemed university/BharathUniversity/Chennai, India,7401098836
