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The backbone of India, the Indian Railways, serves as a means of transportation for passengers and goods. Given the current situation of the enroute waitlist RAC system, the scope for human error or illegal and unfair seat allocation is high due to the information asymmetry that currently exists in the Indian Railways due to the manual checking of tickets by TTEs. This paper presents a solution to the problem by using a deep learning (DL)-based allotment model as well as the implementation of an ICT system that automates seat allocation, updates it in real time, and eliminates issues of cancelation and passenger no-show. Through this system, seat utilization is maximized, and transparency is increased as waitlisted passengers now receive updates about their allocation status. This solution should allow the Indian government to closely monitor the railway system, rendering malpractices by TTEs virtually impossible. It ensures transparent seat allocation, and prevents unauthorized seat sales by providing constant updates to the passenger. Both the railways and passengers reap benefits via the minimization of losses and increased transparency due to the flow of information, respectively. This paper may also be the basis for future research.

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Implementation of a Deep Learning-Based ICT Model to Solve the Problem of Enroute Confirmation of Waitlisted Tickets in Indian Railways

  • 会议论文

  • 发表日期：

    2025年

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  • Ayush Deo,
  • Dhruva Raythatha,
  • Ishita Butaney,
  • Khadijah Syed,
  • Praket Aggarwal,
  • Mahendra Parihar

摘要

The backbone of India, the Indian Railways, serves as a means of transportation for passengers and goods. Given the current situation of the enroute waitlist RAC system, the scope for human error or illegal and unfair seat allocation is high due to the information asymmetry that currently exists in the Indian Railways due to the manual checking of tickets by TTEs. This paper presents a solution to the problem by using a deep learning (DL)-based allotment model as well as the implementation of an ICT system that automates seat allocation, updates it in real time, and eliminates issues of cancelation and passenger no-show. Through this system, seat utilization is maximized, and transparency is increased as waitlisted passengers now receive updates about their allocation status. This solution should allow the Indian government to closely monitor the railway system, rendering malpractices by TTEs virtually impossible. It ensures transparent seat allocation, and prevents unauthorized seat sales by providing constant updates to the passenger. Both the railways and passengers reap benefits via the minimization of losses and increased transparency due to the flow of information, respectively. This paper may also be the basis for future research.