Fare Estimation using Automated Fare Collection System in Buses
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International Journal of Computer Trends and Technology (IJCTT) | 
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| © 2017 by IJCTT Journal | ||
| Volume-47 Number-1 |
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| Year of Publication : 2017 | ||
| Authors : Navya Davis, Aiswarya M.R, Ashiya Kareem, Mufshana M.T, Vinduja. S. Nair | ||
| DOI : 10.14445/22312803/IJCTT-V47P110 |
Navya Davis, Aiswarya M.R, Ashiya Kareem, Mufshana M.T, Vinduja. S. Nair "Fare Estimation using Automated Fare Collection System in Buses". International Journal of Computer Trends and Technology (IJCTT) V47(1):79-84, May 2017. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract -
Nowadays the public transportation
system like the metro are well advanced. Passenger
safety, convenience and the need to improve the
performance of existing public transportation is
driving demand for intelligent transportation system
in the market. The paper we introduce, proposes a
novel fare estimation technique using Automated
Fare Collection (AFC) System and Radio Frequency
Identification (RFID) integrated together in public
transport buses along with Automatic Vehicle
Location System (AVLS) to easily locate the route
and track the bus. The contactless smartcard –based
end-to-end solution for fare collection and payment
that we use here is uniquely designed with the
demand of revenue services for modern transit
operation in mind. The data from the Origin-
Destination (O-D) matrix had been useful to
implement the system, thus paving way to the
advancement in the area of intelligent transport
system.
References
[1] António A. Nunes, Teresa Galvão Dias, and João Falcão e
Cunha, Passenger Journey Destination Estimation From
Automated Fare Collection System Data Using Spatial
Validation, IEEE transactions on intelligent transportation
systems.
[2] Zhou and H. S. Mahmassani, Dynamic origindestination
demand estimation using automatic vehicle
identification data, IEEE Trans. Intell.
[3] Komal Satish Agarwalhe, Kranti Dive, RFID Based
Intelligent Bus Management and Monitoring, Pune, India
Vol. 3 Issue 7, July - 2014
[4] Xuesong Zhou and Hani S. Mahmassani,, Dynamic Origin–
Destination Demand Estimation Using Automatic Vehicle
Identification Data, IEEE transactions on vehicular
technology, Vol 7, No. 1, March 2006.
[5] Christian Oberli, Miguel Torres-Torriti, Performance
Evaluation of UHF RFID Technologies for Real-Time
Passenger Recognition in Intelligent Public Transportation
Systems,IEEE transactions on intelligent transportation
system, Vol. 11, No. 3,September 2010
[6] Keemin Sohn and Daehyun Kim, Dynamic Origin–
Destination Flow Estimation Using Cellular
Communication System, IEEE transactions on vehicular
technology, Vol. 57, No. 5, September,2008
[7] Tomer Toledo and Tanya Kolechkina., Estimation of
Dynamic Origin–Destination Matrices Using Linear
Assignment Matrix Approximations, IEEE transactions on
Intelligent Transportation Systems, Vol. 14, No. 2, June
2013
[8] Yinyi Ma, Prof. Henk van Zuylen, and Dr. Roelof Kuik.,
Freight Origin-Destination Estimation based on Multiple
Data Sources, 2012 15th International IEEE Conference on
Intelligent Transportation Systems.
[9] M. Trépanier, N. Tranchant, and R. Chapleau, Individual
trip destination estimation in a transit smart card automated
fare collection system, J. Intell. Transp. Syst. Technol.
Plann., Oper., vol. 11, no. 1, pp. 1–14, 2007
[10] Li, Y. Lin, X. Zhao, H. Song, and N. Zou, Estimating a
transit passenger trip origin-destination matrix using
automatic fare collection system, in Database Systems for
Advanced Applications, J. Xu, G. Yu, S. Zhou, and R.
Unland, Eds. Berlin, Germany: Springer-Verlag, 2011, pp.
502–513.
Keywords
Contactless smartcards, Contactless
Fare Media Technology, Automated Fare Collection
System, O-D Matrix, Intelligent Transport System.