Aircraft taxiway traffic flow characteristic simulation at large airport

被引:0
作者
Xue Q. [1 ]
Lu J. [1 ]
Jiang Y. [2 ]
机构
[1] The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, Shanghai
[2] School of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing
来源
Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics | 2019年 / 45卷 / 03期
基金
中国国家自然科学基金;
关键词
Cell transmission model (CTM); NetLogo; Phase transition; Taxiway; Traffic flow;
D O I
10.13700/j.bh.1001-5965.2018.0399
中图分类号
学科分类号
摘要
Taxiway is the main resource for airport operation, connecting the runway and apron. The specific traffic flow characteristic emerges with the increase of aircraft at the taxiway. The taxiway traffic flow cell transmission model is established by combining cell transmission model (CTM) and operation regulation of taxiway. Based on the system dynamic simulation platform NetLogo, the model is validated by taking the aircraft taxiway operation at a large airport in China as an example. Then the relationships and phase transition among traffic flow parameters are deduced. The study shows that the taxiway traffic flow transfers among three phases: free, synchronized and block flow. Synchronized flow is very sensitive to the density, where the flux decreases from 0.15 to 0.10 flight/min, velocity decreases from 20 to 7.64 m/s with the increase of density. As the ratio of departure rate and arrival rate decreases from 0.2 to 0.15, the critical value of flux drops from 0.15, 0.10 to 0.13, 0.05 flight/min. The critical value of velocity remains the same in free phase, and drops from 7.64, 1.07 to 0.88, 0.25 m/s for synchronized and block flow. The critical value of density drops from 0.50 to 0.46 flight/km in free phase, but increases from 0.88, 6.21 to 3.77, 13.17 flight/km for synchronized and block flow. The study in this paper reveals the evolution mechanism of taxiway traffic flow congestion, which provides the theory basis for the scientific taxiway management and control strategy. © 2019, Editorial Board of JBUAA. All right reserved.
引用
收藏
页码:567 / 574
页数:7
相关论文
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