• P-ISSN 0974-6846 E-ISSN 0974-5645

Indian Journal of Science and Technology


Indian Journal of Science and Technology

Year: 2020, Volume: 13, Issue: 15, Pages: 1570-1579

Review Article

Comparative study of technologies and intelligent train ticketing system

Received Date:27 March 2020, Accepted Date:01 May 2020, Published Date:04 June 2020


Objectives: To compare the services and technologies of automatic train ticketing systems. Methods: The Internet of Things (IoT), Radio Frequency Identification Technology (RFID), Quick Response Code (QR Code) and Near Field Communication (NFC) are used for automatic ticketing in the trains as well as in buses. A comparison of different machines is also done that are used for tickets-generation, ticket checking, punching machines like QR scanner, BT Services, RFID. Findings: Results are compared with manually checking (by the person) for the validity of the ticket. After the comparison of different technologies and services to find the advantages and disadvantages of each in terms of time and cost, a new method/ technology is introduced for local train ticketing system that is better and more robust than previously used technologies and services.

Keywords: Automatic Train Ticketing System (ATTS); RFID train system; NFC train system; QR train system; Tickets Generation Machines (TGM); Tickets Punching Machines (TPM); Near Filed Communication (NFC); Automatic Tickets Checking Method (ATCM)


  1. Satya Ganapathi, Sri Kumar, Kumar SP, Madhusdhanan P, Kumar SR, Ganesan M. SMART RAIL RESERVATION AND VERIFICATION SYSTEM WITH UNIQUE IDENTIFICATION IN IoT USING CLOUD DATABASE. International Journal of Pure and Applied Mathematics. 2018;p. 279–283.
  2. D'silva G, Michael. Smart ticketing system for railways in smart cities using software as a service architecture. 2017 International Conference on I-SMAC (IoT in Social, Mobile. 2017.
  3. Finžgar L, Trebar M. Use of NFC and QR code identification in an electronic ticket system for public transport. SoftCOM 2011, 19th International Conference on Software, Telecommunications, and Computer Networks. 2011.
  4. Wang G, Shi TY. Design, and Realization of Automatic Ticket Checking System. China Railway Science. 2005;(5).
  5. P FL, Fernández-Caramés T, Castedo L. Towards the Internet of Smart Trains: A Review on Industrial IoT-Connected Railways. Sensors. 2017;17(6):1457. doi: 10.3390/s17061457
  6. Soon TJ. QR Code. Synthesis Journal. 2018;p. 59–78.
  7. Zhai X, Zhao J, Chen Q. Optimization of the assignment of tickets for railway networks with large passenger flows. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit. 2018;232:632–642.
  8. Finkenzeller K. John Wiley & Sons. 2010.
  9. Want R, Denso-Wave. QR Code features. (p. 1) IEEE. 2011.
  10. Hak-Sun Y, Key-Seo L. A study on the development of the train control system data transmission technology using a wireless mesh. Third International Conference on Multimedia Information Networking and Security. 2011.
  11. Abbas I, Muneer U. The Prediction of death causes using regression models and moving averages. International Journal of Data Science and Advanced Analytics. 2019;1:39–46.
  12. Grogan A. Driverless trains: It's the automatic choice. Engineering & Technology. 2012;7(5):54–57. doi: 10.1049/et.2012.0514
  13. Elhamshary M. TransitLabel: A crowd-sensing system for automatic labeling of transit stations semantics. Proceedings of the 14th Annual International Conference on Mobile Systems, Applications, and Services. 2016.


© 2020 Abbas, Iqbal, Ahmad, Naveed, Qudoos. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Published By Indian Society for Education and Environment (iSee)


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