An integrated solution for the aircraft taxi and gate assignment problems

Airlines incur a number of costs associated with moving freight or passengers for one point to another. To manage and control these costs, airlines are constantly looking for areas or opportunities to manage costs and increase efficiency. Various areas or segments of operations have been investigate...

Full description

Saved in:
Bibliographic Details
Published inCogent engineering Vol. 4; no. 1; p. 1413722
Main Authors Behrends, John, Usher, John M.
Format Journal Article
LanguageEnglish
Published Abingdon Cogent 01.01.2017
Taylor & Francis Ltd
Taylor & Francis Group
Subjects
Air travel
aircraft taxi problem
Airlines
Commercial aircraft
Costs
gate assignment
genetic algorithm
Genetic algorithms
job shop
Passengers
Segments
Taxiing
Online AccessGet full text

Cover

More Information
Summary:Airlines incur a number of costs associated with moving freight or passengers for one point to another. To manage and control these costs, airlines are constantly looking for areas or opportunities to manage costs and increase efficiency. Various areas or segments of operations have been investigated with little review of the impact of the researched area on other segments of the operation. This research presents a framework for assigning flights to a departure gate that minimizes delays caused by moving passengers or freight to the departing flight and delays incurred during the taxing from the gate to the runway. As part of this research, variations due to travel speed are investigated. In addition to problem formulation, this research presents a solution algorithm incorporating a genetic algorithm that determines the gate assignment scheme resulting in the minimum delay minutes for a given schedule.
ISSN:2331-1916
2331-1916
DOI:10.1080/23311916.2017.1413722