Anti-Theft Vehicle Tracking System Using GPS and Location Prediction

Dhanya N.M.


Currently the number of private vehicles is increasing day by day and hence the importance of tracking and theft prevention.  Recently the vehicle tracking systems are getting wide popularity and can be used in tracking in case of stolen vehicles. Real-time applications like Vehicle Tracking System is developed using Arduino board with a microcontroller. We have developed a vehicle tracking system with a Smartphone which is less expensive and reliable when compared to the existing system as there is no need for extra hardware. The objective is to develop an application for tracking vehicles, which will help the cab owners to track their car all the time and to predict the location of the vehicle in the case of a failing GPS (Global Positioning System). Time series prediction algorithm is used to predict the location of the vehicle if GPS is in off mode. The vehicle tracking system installed will update the GPS coordinates of the vehicle continued to the cloud, and this data can be used for predicting the location of the vehicle in case of emergency. This system can also be used to generate the bills after finishing the freight in the form of an SMS based on the distance traveled, which can be calculated from the latitude and longitude data. The GPS data can be mapped to the Google maps to track the location in real time. Compared with the existing system, this system is having the advantage of location prediction from the historic location data, and the cost is reduced by almost half.  


vehicle tracking; GPS; location based services; android app.

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Muruganandham, Mukesh P R. Real-Time Web-based Vehicle Tracking using GPS, World Academy of Science, Engineering and Technology, 2010, 61, pp. 91-99.

Ramadan M N, Al-Khedher M A, Al- Kheder S A. Intelligent Anti-Theft and Tracking System for Automobiles, International Journal of Machine Learning and Computing, 2012 Feb, 2(1), pp. 88-92.

ElShafee A, El Menshawi M, Saeed M. Integrating Social Network Services with Vehicle Tracking Technologies, International Journal of Advanced Computer Science and Applications, 2013, 72(11), pp. 22-30.

Real-time GPS + GPRS tracking of vehicles using Arduino. 10-01-2017

Gupta P, Sutar S S. Study of Various Location Tracking Techniques for Centralized Location, Monitoring & Control System, IOSR Journal of Engineering, 2014 Mar, 4(3), pp. 27-30.

Shital Mohol, Amit Pavanikar, Ganesh Dhage GPS Vehicle Tracking System, International Journal of Emerging Engineering Research and Technology, 2014, 71-75.

Lee H H, Park I K, Hong K S. Design and implementation of a mobile devices-based real-time location tracking, International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies, Valencia, 2008 Sep, pp. 178–83.

Choi W J, Tekinay S. Location-based services for next-generation wireless mobile networks, 57th IEEE Semi-Annual Vehicular Technology Conference, VTC’03, 2003 Apr, 3, pp. 1988–92.

Xiao Y-Y, Zhang H, Wang H. Location Prediction for Tracking Moving Objects Based on Grey Theory, 4th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD’07, Haikou, 2007 Aug, pp. 390-94.

Unnikrishnan S, Ajith A. A Mobile Based Tracking System for location prediction of a moving object, International Journal of Advanced Technology in Engineering and Science, 2014 Jun, 2(6), pp. 19-25.

Lalsaheb B, Sobha G. A Tracking System using Location Prediction and Dynamic Threshold for Minimizing SMS Delivery, International Journal of Science, Engineering and Technology Research, 2015 Jan, 4(1), pp. 120-26.

Ranjini K. Mobile Based Location Prediction for Moving Objects, International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering, 2015 Apr, 3(1), pp. 208-13.

Charanya D, Uma G V. Tracking of moving object in Wireless Sensor Network International Journal of Computer and Communication Technology, 2012, 3(5), pp. 7-12.

Ramani R, Valarmathy S, Suthanthira Vanitha N, Selvaraju S, Thiruppathi, Thangam Vehicle Tracking and Locking System Based on GSM and GPS, International Journal of Intelligent Systems and Applications, 2013 Aug, 5(9), pp. 86-93.

Verma P, Bhatia J S. Design and development of GPS-GSM based tracking system with google map based monitoring, International Journal of Computer Science, Engineering and Applications, 2013 Jun, 3(3), pp. 33-40.

Pooja S. Vehicle Tracking System Using GPS, International Journal of Science and Research, 2013 Sep, 2(9), pp. 128-30.

Shital Mohol, Amit Pavanikar, Ganesh Dhage GPS Vehicle Tracking System, International Journal of Emerging Engineering Research and Technology, 2014, 71-75.

Maurya K, Singh M, Jain N Real Time Vehicle Tracking System using GSM and GPS Technology-An Anti-theft Tracking System, International Journal of Electronics and Computer Science Engineering, 2012, 1(3), pp.1103-107.

Le-Tien T, Phung The V. Vietnam Routing and Tracking System for Mobile Vehicles in Large Area, 5th IEEE International Symposium on Electronic Design Test and Applications, Ho Chi Minh City, 2010 Jan, pp. 297-300.

Mariappan S, Sasibhusana Rao G, Ravindra Babu S. Enhancing GPS Receiver Tracking Loop Performance in Multipath Environment Using an Adaptive Filter Algorithm, Indian Journal of Science and Technology, 2014 Nov,7(S7), pp. 156-64.

Thomas O’ Daniel, Mohammed Nazar Hussein, Raed Abdulla, Localization using GPS Coordinates in IPv6 Addresses of Wireless Sensor Network Nodes, Indian Journal of Science and Technology, 2016 Mar, 9(10).

Amin S, Ibne Reaz M B, Sheikh Nasir S, Arif Sobhan Bhuiyan M, Low Cost GPS/IMU Integrated Accident Detection and Location System, Indian Journal of Science and Technology, 2016 Mar, 9(10), pp. 1-9.

Priyadarshni V, Gopi Krishna P, Sreenivasa Ravi K. GPS and GSM Enabled Embedded Vehicle Speed Limiting Device, Indian Journal of Science and Technology, 2016 May, 9(17), pp. 1-6.

Karthika KC, Swaminathan P. Design of Fault Tolerant Automated Energy Metering System using GSM/GPRS Modems, Indian Journal of Science and Technology, 2015 May, 8(S9), pp. 484-88.

Press Trust of India (2017) Hindustan Times, Delhi News. [Online]. Available:

Veera kumar S, Dhanya N.M., Performance analysis of various regression algorithms for time series temperature prediction, Journal of Advanced Research in Dynamical and Control Systems, 2018 10(3), pp. 996-1000

Dhanya, N.M., Harish, U.C. , Sentiment analysis of twitter data on demonetization using machine learning techniques 2018, Lecture Notes in Computational Vision and Biomechanics, 28, pp. 227-23



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