Proceedings of the 2014 International Conference on Mechatronics, Control and Electronic Engineering

Airport Taxi Scheduling Strategy Based on Particle Swarm Optimization Algorithm

Authors
Jingnan Zang, Qing Liu
Corresponding Author
Jingnan Zang
Available Online March 2014.
DOI
https://doi.org/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.
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Proceedings
2014 International Conference on Mechatronics, Control and Electronic Engineering (MCE-14)
Part of series
Advances in Intelligent Systems Research
Publication Date
March 2014
ISBN
978-94-62520-31-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/mce-14.2014.26How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - 2014 International Conference on Mechatronics, Control and Electronic Engineering (MCE-14)
PB  - Atlantis Press
SP  - 122
EP  - 125
SN  - 1951-6851
UR  - https://doi.org/10.2991/mce-14.2014.26
DO  - https://doi.org/10.2991/mce-14.2014.26
ID  - Zang2014/03
ER  -