Modeling and Simulation of Airport Flight Flow Based on Cellular Automaton

Authors

Hongying Zhang, 1.College of Electronic Information and Automation ,Civil Aviation University of China, Tianjin 300300, China;;
Xuwei Yang, 1.College of Electronic Information and Automation ,Civil Aviation University of China, Tianjin 300300, China;;
Luo qian, 2.The Second Research Institute of Civil Aviation Administration of China, Chengdu 610041, China;

Abstract

Abstract: To increase the reliability of the airport scene traffic simulation model, the complex characteristics of scene traffic are researched. An improved model based on NS model is proposed. The influence of the stochastic factors on the taxiing process and the traffic characteristics at the intersection are considered, and the new cells are added to connect the two sections with different evolution rules. The state of the connected cells represents the occupancy of the next section. A large number of simulation experiments were processed, and the results show the goodness of fit between the simulation values and true ones increased by 13%. The reliability and accuracy of the model were verified by the relationship between flight flow and arriving rate, the relationship among flight flow density, average velocity and average flow, and the space-time map. The model can be used to calculate, deduce and predict the operation situation of airport traffic.

Recommended Citation

Zhang, Hongying; Yang, Xuwei; and qian, Luo (2019) "Modeling and Simulation of Airport Flight Flow Based on Cellular Automaton," Journal of System Simulation: Vol. 30: Iss. 8, Article 7.
DOI: 10.16182/j.issn1004731x.joss.201808007
Available at: https://dc-china-simulation.researchcommons.org/journal/vol30/iss8/7

First Page

2864

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201808007

Last Page

2874

CLC

TP391.9

Recommended Citation

Zhang Hongying, Yang Xuwei, Luo qian. Modeling and Simulation of Airport Flight Flow Based on Cellular Automaton[J]. Journal of System Simulation, 2018, 30(8): 2864-2874.

DOI

10.16182/j.issn1004731x.joss.201808007