Allocation optimization of temporary parking in airport based on Monte Carlo trajectory deviation

doi:10.16265/j.cnki.issn1003-3033.2023.11.1021

Abstract

Abstract:

In order to solve the safety and efficiency of hub airport aprons during full load or even overload operation of apron stands, the Kinematics model and Monte Carlo trajectory deviation method were used to study the allocation of temporary stands for aircraft. The kinematics model of aircraft taxing on an apron area was established by analyzing the influence of B configuration and docking corridor bridge. The Monte Carlo trajectory deviation model of aircraft in a fixed stand was put forward based on discrete statistical theory. Combined with the nominal trajectory and deviation area of Matlab simulation, the apron operation conflict probability model was constructed with temporary stands. The case verification of 30 normal stands and 4 hot spots on taxiway G of Changsha Huanghua Airport was carried out. The results show that compared with the traditional manual experience scheme, the Monte Carlo based fluorescence detection method can improve the accuracy judgment of operation conflict area, reduce the amount of affected fixed stands by 10%, interference route for push-out by 50% and conflict probability by 56.8%. Three groups of head-to-head gliding are eliminated. The research is helpful in optimizing the allocation of temporary stands and reducing risk of operation conflict.

Key words: Monte Carlo, trajectory deviation, temporary stand setting, trajectory simulation, conflict probability

CHEN Huaqun, ZHU Xing'ao, YU Haiwang. Allocation optimization of temporary parking in airport based on Monte Carlo trajectory deviation[J]. China Safety Science Journal, 2023, 33(11): 82-88.

Figures/Tables 8

Fig.1

Fig.2

Tab.1

Value of aircraft and parkingm

项目		参数值	项目	参数值
相邻机位净距		7.5	轮间距	A320	16.91
车道边线净距		3	轮间距	A330	25.37
机身长度Z_i	A320	44.51	$e i j$	A320	4.5
机身长度Z_i	A330	63.69	$e i j$	A330	7.5
翼展	A320	34.1	e^j^,^j	76
翼展	A330	60.3	L^j^,^j⁺¹	50
前后轴距	A320	16.78	H	10
前后轴距	A330	32.04	ΔD_i	3
每秒直线滑行距离		13	N	9
每秒转弯滑行距离		5	M	5

Tab.1

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References 15

[1]	ALOMAR I, TOLUJEW J, MEDVEDEVS A. Analysis of riga international airport flight delays[C]. International Conference on Reliability and Statistics in Transportation and Communication, 2017: 519-529.
[2]	VERMA S, LEE H, MARTIN L, et al. Evaluation of a tactical surface metering tool for Charlotte Douglas international airport via human-in-the-loop simulation[C]. 2017 IEEE/AIAA 36^th Digital Avionics Systems Conference(DASC), 2017: 1-10.
[3]	蒋洪迅, 马仁义. 面向靠桥率及道口冲突率的航班-机位指派问题优化模型及其启发式算法研究[J]. 系统科学与数学, 2021, 41(1):75-98. doi: 10.12341/jssms14097
	JIANG Hongxun, MA Renyi. Rates of closed-bridge and crossing-collision oriented optimizationModel on aircraft-gate assignment and its heuristics[J]. Journal of Systems Science and Mathematical Sciences, 2021, 41(1):75-98. doi: 10.12341/jssms14097
[4]	李云鹏, 张则强, 管超, 等. 停机位分配问题的整数规划模型及启发式求解方法[J]. 系统工程, 2020, 38(1):103-112.
	LI Yunpeng, ZHANG Zeqiang, GUAN Chao, et al. Integer programming model and heuristic method for gate assignment problem[J]. Systems Engineering, 2020, 38(1):103-112.
[5]	杨新湦, 安琪. 基于最小扰动的停机位及滑行路径临时改派策略[J]. 武汉理工大学学报, 2017, 39(2):23-27,60.
	YANG Xinsheng, AN Qi. Reassignment strategy of airport gate and taxiing route based on minimum disturbance[J]. Journal of Wuhan University of Technology, 2017, 39(2):23-27,60.
[6]	TANG Chinghui. A gate reassignment model for the taiwan taoyuan airport under temporary gate shortages and stochastic flight delays[J]. IEEE Trans. Systems, Man, and Cybernetics, Part A, 2011, 41(4):637-350. doi: 10.1109/TSMCA.2010.2089512
[7]	余洲, 张兆宁. 基于模糊数的机场滑行冲突预测方法[J]. 中国安全科学学报, 2023, 33(3):90-95. doi: 10.16265/j.cnki.issn1003-3033.2023.03.0938
	YU Zhou, ZHANG Zhaoning. A prediction method of airport taxiing conflicts based on fuzzy numbers[J]. China Safety Science Journal, 2023, 33(3):90-95. doi: 10.16265/j.cnki.issn1003-3033.2023.03.0938
[8]	康瑞, 杨凯. 航空器逆向滑行冲突风险评估模型[J]. 中国安全科学学报, 2021, 31(10):39-45. doi: 10.16265/j.cnki.issn1003-3033.2021.10.006
	KANG Rui, YANG Kai. Risk assessment model of aircraft opposite taxiing conflict[J]. China Safety Science Journal, 2021, 31(10):39-45. doi: 10.16265/j.cnki.issn1003-3033.2021.10.006
[9]	LUO Xiao, TANG Yong, WU Honggang, et al. Real-time adjustment strategy for conflict-free taxiing route of A-SMGCS aircraft on airport surface[C]. IEEE International Conference on Mrchatronics & Automation, 2020:929-934.
[10]	MH 5001—2021, 民用机场飞行区技术标准[S].
	MH 5001-2021, Aerodrome technical standards[S].
[11]	中国民用航空局. 中国民用航空局航班备降工作规则[L].2020-04-17.
[12]	ŠPETLÍK M, BREZINA J. Groundwater contaminant transport solved by Monte Carlo methods accelerated by deep learning meta-model[J]. Applied Sciences, 2022, 12(15):DOI:10.3390/APP12157382.
[13]	谷润平, 吕智鸿, 魏志强. 多跑道独立进近中的TCAS告警风险仿真与分析[J]. 飞行力学, 2021, 39(3):48-53.
	GU Runping, LYU Zhihong, WEI Zhiqiang. Simulation and analysis of TCAS warning risk inmulti-runway independent approach[J]. Flight Dynamics, 2021, 39(3):48-53.
[14]	SHI Kaize, PENG Xueping, LU Hao, et al. Application of social sensors in natural disasters emergency management: a review[J]. IEEE Transactions on Computational Social Systems, 2022, 10(6):3143-3158. doi: 10.1109/TCSS.2022.3211552
[15]	石昊, 赵育善, 师鹏. 航天器近距离相对运动的轨迹偏差分析[J]. 北京航空航天大学学报, 2017, 43(3):636-644.
	SHI Hao, ZHAO Yushan, SHI Peng. Analysis of trajectory deviation for spacecraft relative motion in close-range[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(3):636-644.