Version 1
: Received: 19 February 2024 / Approved: 22 February 2024 / Online: 22 February 2024 (13:25:41 CET)
How to cite:
Seifi, A.; Ponnambalam, K.; Kudiakova, A.; Aultman-Hall, L. An Optimization Model for Flight Rescheduling from an Airport’s Centralized Perspective for Better Management of Demand and Capacity Utilization. Preprints2024, 2024021316. https://doi.org/10.20944/preprints202402.1316.v1
Seifi, A.; Ponnambalam, K.; Kudiakova, A.; Aultman-Hall, L. An Optimization Model for Flight Rescheduling from an Airport’s Centralized Perspective for Better Management of Demand and Capacity Utilization. Preprints 2024, 2024021316. https://doi.org/10.20944/preprints202402.1316.v1
Seifi, A.; Ponnambalam, K.; Kudiakova, A.; Aultman-Hall, L. An Optimization Model for Flight Rescheduling from an Airport’s Centralized Perspective for Better Management of Demand and Capacity Utilization. Preprints2024, 2024021316. https://doi.org/10.20944/preprints202402.1316.v1
APA Style
Seifi, A., Ponnambalam, K., Kudiakova, A., & Aultman-Hall, L. (2024). An Optimization Model for Flight Rescheduling from an Airport’s Centralized Perspective for Better Management of Demand and Capacity Utilization. Preprints. https://doi.org/10.20944/preprints202402.1316.v1
Chicago/Turabian Style
Seifi, A., Anna Kudiakova and Lisa Aultman-Hall. 2024 "An Optimization Model for Flight Rescheduling from an Airport’s Centralized Perspective for Better Management of Demand and Capacity Utilization" Preprints. https://doi.org/10.20944/preprints202402.1316.v1
Abstract
Over-capacity flight scheduling by commercial airlines due to the surging demand in recent years creates congestion and significant delays at major airports. This maximizing throughput attitude calls for tactical flight rescheduling to comply with airports’ capacity limitations and distribute the peak hour demand over the course of a day. Such displacements of flights may cause significant problems and costs for airlines and some cancellations or missed connections for the passengers. This paper presents an optimization model for flight rescheduling at a schedule-coordinated airport to minimize congestion and flight delays. The optimization model is used to make better scheduling intervention decisions considering the airport resource constraints and safety of operation. We have also developed a simulation method to replicate arrival and departure processes in such an airport. The simulation adheres to a first come first served (FCFS) discipline and enforces runway capacity constraints and minimum turnaround times. We compare the delays caused by an ad hoc FCFS operation with those obtained by the optimization model. Computational results from a case study demonstrate that a reduction of 40.7% and 61.6% in total delay times for the arrival and departure flights can be achieved by the optimization model. It also facilitates implementing a collaborative decision-making system for better coordination with commercial airlines.
Keywords
flight scheduling; airport congestion; flight delays; schedule optimization; simulation of arrival and departure processes; runway capacity
Subject
Engineering, Transportation Science and Technology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
