Airport Taxi Scheduling Strategy Based on Particle Swarm Optimization Algorithm
Jingnan Zang, Qing Liu
Available Online March 2014.
- https://doi.org/10.2991/mce-14.2014.26How to use a DOI?
- Aircraft taxiing;Airport Surface Control;Taxiway Scheduling;Particle Swarm Optimization Algorithm
- 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.
- 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 -