Every day, millions of people travel by rail in India. Even still, tens of thousands of waitlisted tickets are cancelled because there is no room on the chosen train on a given day. Such cancellations leave waitlisted ticket holders disgruntled and uncomfortable, costing the Indian Railways' passenger sector revenue. A secondary queue of waitlisted ticket holders occurs when the number of berths in demand is fewer than the number available in the requested accommodation class on a particular train on a specific day. The few customers from this line are served using confirmed tickets that have been relinquished by the person having confirmed tickets from the main line (primary queue). To validate the real queuing model, the study employs field data from the Centre of Railways Information System to establish the secondary queue's statistical distribution of arrivals and services. Furthermore, it analyses the secondary queue's performance characteristics using G/G/c/K queuing science and optimises the secondary queue design. This facilitates sensitivity analysis (changing values).
Qasim et al. (Thu,) studied this question.
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