Journal of System Simulation
Abstract
Abstract: Variable taxiing time is an important indicator to the characteristics of the airport traffic flow assessment, which affects the airport operating efficiency, the passenger satisfaction for the airline and the pollution emissions. For a large hub airport, according to the principle of cellular automata and the congestion of traffic flow, the airport taxiing area is regarded as the network topology of nodes and links, and the conflict between taxi rules and aircraft is taken as the constraint. The simulation analysis is carried out on the basis of constructing the model of airplane departure traffic flow, using Monte Carlo algorithm to get the optimal taxi path, combining the flight data. The results show that this model reduces the taxiing waiting time of the departing aircraft, and the taxiing efficiency is improved by 9.8%, and fully dispatches and rationally allocates airport ground resources.
Recommended Citation
Xing, Zhiwei; Xu, Mingyi; Xiao, Luo; and Qian, Luo
(2020)
"Simulation and Optimization of Aircraft Sliding Path,"
Journal of System Simulation: Vol. 32:
Iss.
2, Article 20.
DOI: 10.16182/j.issn1004731x.joss.17-9213
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol32/iss2/20
First Page
323
Revised Date
2018-06-14
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.17-9213
Last Page
331
CLC
U8
Recommended Citation
Xing Zhiwei, Xu Mingyi, Luo Xiao, Luo Qian. Simulation and Optimization of Aircraft Sliding Path[J]. Journal of System Simulation, 2020, 32(2): 323-331.
DOI
10.16182/j.issn1004731x.joss.17-9213
Included in
Artificial Intelligence and Robotics Commons, Computer Engineering Commons, Numerical Analysis and Scientific Computing Commons, Operations Research, Systems Engineering and Industrial Engineering Commons, Systems Science Commons