Simulation of Boarding Time Prediction using M/M/C/K Queuing Model for Airport Passengers

Abstract

Successfully executing takeoff of an aircraft as per the scheduled time is mainly depends on how effectively various queues of different security systems in the airport is managed. Recently, due to the globalization, air traffic is increasing exponentially. Number of passengers handled by airport authorities in various queues with minimum waiting time of the passenger in queues is need of the hour. Queuing theory concepts and the mathematical models already developed are used to optimize largely in airports. However the congestion in the airports is ever increasing and need computation to arrive at quick decision to handle such situations with minimum cost while not compromising the passengers comfort level. In a typical airport, starting from the entry gate to exit gate, passengers need to experience various types of queues. However the queuing system which is selected for boarding in a aircraft is most critical and aircraft operator need to address the queue properly, to takeoff the aircraft at right time. In this work boarding time is predicted using simulation method and is compared with that of mathematical methods. The simulated results are in good agreement with that of analytical result.