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

Sundari M*, Sivakami ; Department of BSH, GIET University, Gunupur, India. ; S., Palaniammal ; [et al.]

Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP ; 2019

In: International Journal of Recent Technology and Engineering (IJRTE) Vol. 8, No. 4 ( 2019-11-30), p. 5863-5867

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In: International Journal of Recent Technology and Engineering (IJRTE), Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP, Vol. 8, No. 4 ( 2019-11-30), p. 5863-5867

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.

Type of Medium: Online Resource

ISSN: 2277-3878

URL: Journal

URL: Article

DOI: 10.35940/ijrte.2277-3878

DOI: 10.35940/ijrte.D8743.118419

Language: Unknown

Publisher: Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP

Publication Date: 2019

detail.hit.zdb_id: 2722057-6

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An Ann Simulation of Single Server with Infinite Capacity Queuing System

Sundari M*, Sivakami ; Department of BSH, GIET University, Gunupur, India. ; S, Palaniammal ; [et al.]

Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP ; 2019

In: International Journal of Innovative Technology and Exploring Engineering Vol. 8, No. 12 ( 2019-10-30), p. 4061-4067

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In: International Journal of Innovative Technology and Exploring Engineering, Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP, Vol. 8, No. 12 ( 2019-10-30), p. 4061-4067

Abstract: Successful formulation of queuing models depends on arrival rate, nature of waiting in queues, type of service and customer leaving the system depends on type of arrival, nature of service, number of servers deputed, type of queues, number of customers approaching for service in the system and delay. Kendall notations are popularly used for designating the queuing models like M/M/C/E/D. Various mathematical models have been developed to solve the queuing problem analytically. However solving queuing models with power of computers is the new area of research and this work intends to develop single server infinite capacity queuing system using Artificial Neural Network(ANN). The results of simulation are compared with that of analytical method.

Type of Medium: Online Resource

ISSN: 2278-3075

URL: Journal

URL: Article

DOI: 10.35940/ijitee

DOI: 10.35940/ijitee.L3633.1081219

Language: Unknown

Publisher: Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP

Publication Date: 2019

detail.hit.zdb_id: 2750974-6

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