Airport Taxi Scheduling Strategy Based on Particle Swarm Optimization Algorithm

DOI

10.2991/mce-14.2014.26How to use a DOI?

Keywords

Aircraft taxiing;Airport Surface Control;Taxiway Scheduling;Particle Swarm Optimization Algorithm

Abstract

This paper constructs a new function of airport taxi-scheduling, and the improved IPSO and CPSO algorithms were introduced to solve these problems. Simulation results showed that the new scheme reduced total time by 25.3 minutes in peak hour, with average 1.4 minutes taxi time reduced per aircraft compared to FCFS strategy. The CPSO algorithm has advantages over the other two algorithms for its acceptable computer time and precise outcomes, which can be used in solving such NP complexity problems.

Copyright

© 2014, 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  - Jingnan Zang
AU  - Qing Liu
PY  - 2014/03
DA  - 2014/03
TI  - Airport Taxi Scheduling Strategy Based on Particle Swarm Optimization Algorithm
BT  - Proceedings of the 2014 International Conference on Mechatronics, Control and Electronic Engineering
PB  - Atlantis Press
SP  - 122
EP  - 125
SN  - 1951-6851
UR  - https://doi.org/10.2991/mce-14.2014.26
DO  - 10.2991/mce-14.2014.26
ID  - Zang2014/03
ER  -