Real-Time Public Vehicle Mobile Tracking System Using Global Positioning System Technology
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International Journal of Computer Trends and Technology (IJCTT) | 
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| © 2016 by IJCTT Journal | ||
| Volume-38 Number-2 |
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| Year of Publication : 2016 | ||
| Authors : J.C. Ogbonna, C.E. Nwokorie, J.N. Odii, C.C. Ukaegbu | ||
| DOI : 10.14445/22312803/IJCTT-V38P114 |
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).