Arrival and Departure Flights Sequencing Optimization Based on Flight Classification Model

DOI

10.2991/mmsa-18.2018.1How to use a DOI?

Keywords

air traffic management; flight classification; transitive closure algorithm; sequencing; airport operation

Abstract

Delicacy flight classification and calculation of delay cost is very important for improving airport operation efficiency and reducing airline operation cost, when it is applied to manage the sequence of take-off and landing flights. The four different factors were considered, and the transitive closure algorithm (TCA) was used to classify the flight. The TCA method was implemented in sequencing problems of arrival and departure flights in large airport, and compared with the traditional classification method. Results indicate that the TCA classification model is conducive to reduce the expenses of flight delays, optimize the sequences of arrival and departure flights, and improve the efficiency of airport operation.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xiong Li
AU  - Xiaoqing Chen
AU  - Dongbin Li
AU  - Dongxuan Wei
PY  - 2018/03
DA  - 2018/03
TI  - Arrival and Departure Flights Sequencing Optimization Based on Flight Classification Model
BT  - Proceedings of the 2018 International Conference on Mathematics, Modelling, Simulation and Algorithms (MMSA 2018)
PB  - Atlantis Press
SP  - 1
EP  - 3
SN  - 1951-6851
UR  - https://doi.org/10.2991/mmsa-18.2018.1
DO  - 10.2991/mmsa-18.2018.1
ID  - Li2018/03
ER  -