Simulation and Optimization of Aircraft Sliding Path

doi:10.16182/j.issn1004731x.joss.17-9213

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.

Key words: variable taxiing time, outbound traffic flow, airport network diagram, cellular automata, Monte Carlo algorithm, operational optimization

CLC Number:

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.

References

[1] 李楠, 吕弘哲. 基于场面监视数据航空器场面滑行路径确定[J]. 航空计算技术, 2016, 46(2): 6-9.
Li Nan, Lü Hongzhe.Method to Find out Path of Aircraft on Surface Based on Surface Movement Radar data[J]. Aeronautical Computing Technique, 2016, 46(2): 6-9.
[2] 谷润平, 崔朋, 唐建勋, 等. 基于D*算法的场面滑行动态规划研究[J]. 科学技术与工程, 2015, 15(1): 315-319.
Gu Runping, Cui Peng, Tang Jianxun, et al.Research on Dynamic Planning of Taxi Path Based on D* Algorithm[J]. Science Technology and Engineering, 2015, 15(1): 315-319.
[3] Lee H, Balakrishnan H.Optimization of Airport Taxiway Operations at Detroit Metropolitan Airport (DTW)[C]// American Institute of Aeronautics and Astronautics Aviation Technology, Integration, and Operations. Fort Worth, Texas: American Institute of Aeronautics and Astronautics, 2013.
[4] Levy B, Legge J.Departure Taxi Time Predictions Using ASDE-X Surveillance Data[C]// The Congress of Icas & American Institute of Aeronautics and Astronautics Aviation Technology Integration and Operation Conference. Fort Worth, Texas: American Institute of Aeronautics and Astronautics, 2006.
[5] 钟石泉, 马寿峰, 贺国光, 等. 交通诱导系统路网状态描述方法及仿真研究[J]. 系统工程学报, 2009, 24(1): 25-31.
Zhong Shiquan, Ma Shoufeng, He Guoguang, et al.Research on Road Network State Description and Simulation of Traffic Guidance System[J]. Journal of Systems Engineering, 2009, 24(1): 25-31.
[6] 仉俊峰, 王昉, 苏永涛. 用于可靠性评测的优化检测方法[J]. 东北林业大学学报, 2009, 37(8): 112-114.
Zhang Junfeng, Wang Fang, Su Yongtao.An Optimal Detection Method for Reliability Evaluation[J]. Journal of Northeast Forestry University, 2009, 37(8): 112-114.
[7] Garcia A P, Garcia H A, Otamendi F J, et al.Agent-Based Distributed Control for Improving Complex Resource Scheduling: Application to Airport Ground Handling Operations[J]. IEEE Systems Journal (S1932-8184), 2014, 8(4): 1145-1157.
[8] Lordan O, Sallan J M, Simo P, et al.Robustness of the air transport network[J]. Transportation Research Part E Logistics & Transportation Review (S1366-5545), 2014, 68(68): 155-163.
[9] 丁建立, 赵键涛, 曹卫东. 基于贝叶斯网的航班过站时间动态估计[J]. 南京航空航天大学学报, 2015, 47(4): 517-524.
Ding Jianli, Zhao Jiantao, Cao Weidong.Dynamic estimation about turnaround time of flight based on Bayesian network[J]. Journal of Nanjing University of Aeronautics & Astronautics, 2015, 47(4): 517-524.
[10] Andreatta G, Giovanni L D, Monaci M.A Fast Heuristic for Airport Ground-Service Equipment-and-Staff Allocation[J]. Procedia-Social and Behavioral Sciences (S1877-0428), 2014, 108: 26-36.
[11] Pyrgiotis N, Malone K M, Odoni A.Modelling delay propagation within an airport network[J]. Transportation Research Part C Emerging Technologies (S0968-090X), 2013, 27(2): 60-75.
[12] Idris H, Delcaire B, Anagnostakis I, et al.Identification of flow constraint and control points in departure operations at airport systems[J]. American Institute of Aeronautics and Astronautics Journal (S1533-385X), 2015, 191(191): e158.
[13] Letchford A N, Nasiri S D, Oukil A.Pricing Routines for Vehicle Routing with Time Windows on Road Networks[J]. Computers & Operations Research (S0305-0548), 2014, 51(3): 331-337.
[14] 张洪海, 杨磊, 别翌荟, 等. 终端区进场交通流广义跟驰行为与复杂相变分析[J]. 航空学报, 2015, 36(3): 949-961.
Zhang Honghai, Yang Lei, Bie Yihui, et al.Analysis on generalized following behavior and complex phasetransition law of approaching traffic flow in terminal airspace[J]. Acta Aeronautica Et Astronautica Sinica, 2015, 36(3): 949-961.
[15] 戴文雯, 别翌荟, 张洪海, 等. 基于NetLogo的终端区交通流仿真[J]. 航空计算技术, 2014, 44(1): 30-33.
Dai Wenwen, Bie Yihui, Zhang Honghai, et al.Simulation of Air Traffic Flow Based on NetLogo[J]. Aeronautical Computing Technique, 2014, 44(1): 30-33.
[16] Ramanujam V, Balakrishnan H.Estimation of arrival-departure capacity tradeoffs in multi-airport systems[C]// Decision and Control, 2009 Held Jointly with the 2009, Chinese Control Conference. Cdc/ccc 2009. Proceedings of the, IEEE Conference on. Shanghai: IEEE, 2009: 2534-2540.
[17] Pyrgiotis N, Malone K M, Odoni A.Modelling delay propagation within an airport network[J]. Transportation Research Part C: Emerging Technologies (S0968-090X), 2013, 27(1): 60-75.
[18] 胡明华, 刘松, 苏兰根. 基于统计分析的单跑道容量估计模型研究[J]. 数据采集与处理, 2000, 15: 74-77.
Hu Minghua, Liu Song, Su Langen.Research on Single Runway Capacity Estimation Model Based on Statistical Analysis[J]. Data Collection and Processing, 2000, 15: 74-77.
[19] 刘长有, 丛晓东. 基于遗传算法的飞机滑行路径优[J].交通信息与安全, 2009, 27(3): 6-9.
Liu Changyou, Cong Xiaodong.According to the airplane of the heredity algorithm skid the path be excellent to turn[J]. Communication Information and Safety, 2009, 27(3): 6-9.