Advertisement

Improving Experience at Indian Railways Reservation Counters by Digitizing the Ticketing Process

  • Abhishek Bose
  • Jyotsana
  • Satyaki Roy
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 135)

Abstract

In the current Indian Railways counter ticket reservation scenario, the applicant has to write all the journey details on the reservation requisition form and then has to hand it over to the ticket booking staff at the counter. The staff then has to re-enter those details into the computer system manually. It takes more time for the staff to type the information when the form has multiple passengers for the same journey. Though the counters work on first-come-first-serve basis but the service time at the counter window varies drastically between 4 and 6 min per applicant. This creates a much bigger problem for the applicants during Tatkal booking hours where even a fraction of second makes or breaks a journey for many passengers. With an extensive user survey of applicants and staffs at various reservation counters across the country, we identified the core reasons for non-uniformity in ticket booking timings. It was found that the major factor for this non-uniformity of ticketing time is due to variable human proficiency factors such as number of passenger names in the requisition form, handwriting of the applicant in the requisition form, and typing speed of the staff at the counter. This paper proposes a new digital system comprising of a mobile-based application and kiosks (for non-smartphone owners) that will generate a unique code for booking counter tickets. This code will help to eliminate the manual data entry of the journey details into the reservation system by the staff and make the booking process more efficient and faster by reducing the cognitive load on the staff. With this system, the service time to book the ticket at the reservation counter window will be 40–45 s regardless of the number of passengers in the list.

Keywords

Indian railways Passenger reservation system counter Unique code generation system Digital requisition form Mobile application 

References

  1. 1.
    List of Countries by Rail Transport Network Size. [Online]. Available: https://goo.gl/RbDQ6V. Accessed: 14 June 2018
  2. 2.
    Number of Passenger Trains Run Daily by Type on Indian Railways (2002–2003 to 2015–2016). [Online]. Available: https://goo.gl/fsVHYA. Accessed: 14 June 2018
  3. 3.
    Zone-Wise Number of Tickets Issued Through Indian Railway Catering and Tourism Corporation Limited (IRCTC) and Computerised Passenger Reservation System (PRS) Counters and Earnings therefrom in India (2015–2016-up to January 2016). [Online]. Available: https://goo.gl/4WDZ4W. Accessed: 14 Jun 2018
  4. 4.
    Salient Features of Existing Tatkal Scheme. [Online]. Available: https://goo.gl/s28p7p. Accessed: 14 June 2018
  5. 5.
    Railway Tatkal Booking: New IRCTC Facility and Other Reservation Rules. [Online]. Available: https://goo.gl/wqYbGq. Accessed: 13 June 2018
  6. 6.
    Number of Locations with Passenger Reservation System (PRS) Facility in Indian Railways (2006–2007 to 2016–2017). [Online]. Available: https://goo.gl/RjdaXS. Accessed: 14 June 2018
  7. 7.
    Peter, J., Emma, P.: Managing perceptions of waiting times in service queues. J. Serv. Manag. 7(5) (1996)Google Scholar
  8. 8.
    Global market share held by smartphone operating systems (2018). [Online]. Available: https://goo.gl/PZu4Hh. Accessed: 14 June 2018
  9. 9.
    Dell, N., Breit, N., Jacob, W.O., Borriello, G.: Improving form-based data entry with image snippets (2013)Google Scholar
  10. 10.
    India ranked 109th in mobile internet speed, 76th fastest for broadband: Ookla. [Online]. Available: https://goo.gl/Lu3qXr. Accessed: 14 June 2018
  11. 11.
    Swachh Bharat Mission. [Online]. Available: https://goo.gl/pxv8XB. Accessed: 16 Sept 2018
  12. 12.
    Digital India. [Online]. Available: https://goo.gl/TmhrFn. Accessed: 16 Sept 2018

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Indian Institute of TechnologyKanpurIndia

Personalised recommendations