Real-Time Public Vehicle Mobile Tracking System Using Global Positioning System Technology

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2016 by IJCTT Journal
Volume-38 Number-2
Year of Publication : 2016
Authors : J.C. Ogbonna, C.E. Nwokorie, J.N. Odii, C.C. Ukaegbu
  10.14445/22312803/IJCTT-V38P114

MLA

J.C. Ogbonna, C.E. Nwokorie, J.N. Odii, C.C. Ukaegbu "Real-Time Public Vehicle Mobile Tracking System Using Global Positioning System Technology". International Journal of Computer Trends and Technology (IJCTT) V38(2):71-80, August 2016. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
Intelligent Transportation Systems (ITS) are gaining recognition in developing countries today. This paper focuses on the implementation of a Real-Time Public Vehicle Mobile Tracking System using GPS Technology. The system includes global position determining mobile phones located in the vehicles for determining the location of the vehicles along their routes. The system allows the public transit vehicle management and the passengers to view the tracking history of a target vehicle on a GIS Map through the internet. The mobile application installed on a GPS enabled mobile phone (Bus Simulator), periodically reads the current position of the vehicle using GPS technology, the data is sent via a mobile wireless communication network from the mobile phone to a Webserver where predictions such as the Estimated Time of Arrival (ETA) and Link’s Travel Time (LTT) is computed. The vehicle’s position data, ETA and LTT is then stored in the database for live and past tracking. This system enhances the LTT computation and ETA prediction in order to reflect the current traffic situations. Results show that by storing the GPS location updates in the mobile device local database when there is no network connectivity between the Webserver and the Bus Simulator, and by transmitting the stored GPS location updates to the Webserver whenever the network connectivity is reestablished, the LTT computation as well as the ETA prediction is improved. This system is useful in any public vehicle transportation company, and will benefit both the management and the commuters.

References
[1] Chandurkar, M., Mugade, S., Sinha, S., Misal, M. & Borekar, P, (2013), Implementation of Real Time Bus Monitoring and Passenger Information System. International Journal of Scientific and Research Publications, 3(5), 1-5.
[2] Chung, E., & Shalaby, A., (2007), Expected time of arrival model for school bus transit using real-time global positioning system-based automatic vehicle location data, Journal of Intelligent Transportation Systems, 11(4), 157- 167.
[3] D'Angelo, M., Al-Deek, H. & Wang, M., (1999), Travel-time prediction for freeway corridors, Transportation Research Record, Journal of the Transportation Research Board, (1676), 184-191.
[4] Ganesh, K., Thrivikraman, M., Kuri, J., Dagale, H., Sudhakar, G., & Sanyal, S., (2012), Implementation of a real time passenger information system, arXiv preprint arXiv:1206.0447.
[5] Sun, D., Luo, H., Fu, L., Liu, W., Liao, X., & Zhao, M., (2007), Predicting bus arrival time on the basis of global positioning system data. Transportation Research Record: Journal of the Transportation Research Board, (2034), 62- 72.
[6] Weigang, L., Koendjbiharie, M., de, M., Ricardo, C., Yamashita, Y. & Maciver, A., (2002), Algorithms for estimating bus arrival times using GPS data, In Intelligent Transportation Systems, 2002, Proceedings of the IEEE 5th International Conference on (pp, 868-873), IEEE.

Keywords
Estimated Time of Arrival (ETA), Geographical Information System (GIS), Global Positioning System (GPS), Intelligent Transportation Systems (ITS), Link’s Travel Time (LTT).