Karafan Journal

Karafan Journal

Agent-based Modelling for Backup Aircraft Site Selection to Decrease Flight Delay Time (Case Study: Qeshm Airlines)

Document Type : Original Article

Authors
Mohammad Akhondi 1
Mohammad Saadi Mesgari 2
1 Faculty Member, Department of Surveying Engineering, Technical and Vocational University (TVU), Tehran, Iran.
2 Associate Professor, Member and Head of Geoinformation Technology Center of Excellence, Faculty of Geodesy and Geomatics Engineering, K.N. Toosi University of Technology, Tehran, Iran.
10.48301/kssa.2022.334125.2047
Abstract
Flight delays are one of the most important and pervasive problems in the aviation industry. One way to reduce flight delays is to use backup planes. In previous research, less attention has been paid to the issue of backup aircraft and especially the location of their deployment in order to reduce air traffic delays. Therefore, in this research, an agent-based modelling and simulation is used to find the optimum deployment location of backup aircrafts. The main objectives of this study were to investigate the effect of locating backup aircraft as well as the effect of increasing their number in reducing the average delay time of air flights. In modeling, three scenarios were examined based on the number of backup aircraft. The first, second and third scenario consisted of one, two and three backup aircrafts, respectively. The results showed 26% and 29% increase in the number of backup aircraft from one to two aircrafts and from two to three aircrafts in reducing the average delay time. In addition, in each of the scenarios, the difference between the worst and best locations found for the deployment of backup aircrafts and its impact on latency was examined. This effect was 70%, 77% and 84% in the first, second and third scenarios, respectively. These huge differences showed the great impact of optimal location of the deployment centers in reducing the flight delays.
Keywords
Agent-based
Location
Air Transport
Backup Aircraft
Delay Time
Flight
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Karafan Journal
Volume 20, Issue 1 - Serial Number 61
Technical & Engineering
Spring 2023
Pages 453-476

  • Receive Date 12 April 2022
  • Revise Date 09 June 2022
  • Accept Date 21 June 2022