西华大学学报（自然科学版）2024，Vol.43Issue(1)：8-15,8.DOI:10.12198/j.issn.1673-159X.5168
基于数字孪生的机场场面滑行冲突预测模型构建与分析
Construction and Analysis of a Taxiing Conflict Prediction Model in Airport Scene Based on Digital Twin
摘要
Abstract
The traditional airport scene taxiing conflict detection mainly relies on the controllers to visually judge the conflict risk.With the increase of air traffic volume,the shortcomings of relying on manual judgment are increasingly prominent,and a conflict judgment method is urgent to reduce manual dependence.At present,most conflict models have some problems,such as the lack of timely interaction between the model and the real situation of the scene.Consequently,based on digital twin,a taxiing con-flict prediction model in airport scene is proposed in this paper.The scene conflict can be predicted timely in this model through the data interaction between the physical system and the twin system.Further,con-sidered the delay requirement of the twin system,the delay modeling and analysis are carried out based on the mainstream communication methods 4G,5G and AeroMACS(aeronautical mobile airport communica-tions system)in airport scene.The simulation results show that the delay of 5G and AeroMACS is between 0.5 and 20 ms,which meets the requirement of communication delay.关键词
机场场面/数字孪生/滑行冲突/冲突预测/时延Key words
airport surface/digital twin/taxi conflict/conflict prediction/delay分类
航空航天引用本文复制引用
黄智灵,张璐瑶,陈倩,唐欣,李晓欢..基于数字孪生的机场场面滑行冲突预测模型构建与分析[J].西华大学学报（自然科学版）,2024,43(1):8-15,8.基金项目
广西重点研发计划项目(桂科AB23026038) （桂科AB23026038）
广西杰出青年基金资助项目(2019GXNSFFA245007). （2019GXNSFFA245007）
