Complexity analysis of air traffic based on complex networks under TBO mode

Since the complex network constructed according to the unified separation standard does not take into account the differences in the operation of aircraft types, it cannot meet the refined requirements of air traffic complexity analysis under trajectory based operation (TBO). To solve this problem, an air traffic complexity analysis model based on complex networks to distinguish different aircraft types is proposed. Firstly, a calculation model for lateral flight safety intervals of different aircraft types is established, an aircraft precise protection zone is constructed, and the basis for determining the aircraft connection in the flight conflict network is optimized. On the basis of considering information such as aircraft heading and speed, flight conflict judgment pays attention to the different performance and status of aircraft, so that the flight conflict network can be closer to the operation mode of TBO. Through experimental simulation of the TBO operation environment and verification using radar data from Gaoqi Airport, the results show that compared with the previous flight conflict network, the model can refine the horizontal separation standards between aircraft, reduce the complexity of the airspace, reduce the workload of controllers, and improve the operation efficiency of the airspace, and provide more space for aircraft to autonomously select the optimal trajectory.

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Publication Details

Journal
Journal of applied artificial intelligence.
Published
2024-10-18
DOI
https://doi.org/10.59782/aai.v1i1.269
Primary Topic
Distributed Sensor Networks and Detection Algorithms
Type
article
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article

Complexity analysis of air traffic based on complex networks under TBO mode

Mark S. Daskin, Minggong Wu, Sarah Louise Williams, Peng Yating
Journal of applied artificial intelligence.
Distributed Sensor Networks and Detection Algorithms
article

Complexity analysis of air traffic based on complex networks under TBO mode

Mark S. Daskin, Minggong Wu, Sarah Louise Williams, Peng Yating
article en

Abstract

Since the complex network constructed according to the unified separation standard does not take into account the differences in the operation of aircraft types, it cannot meet the refined requirements of air traffic complexity analysis under trajectory based operation (TBO). To solve this problem, an air traffic complexity analysis model based on complex networks to distinguish different aircraft types is proposed. Firstly, a calculation model for lateral flight safety intervals of different aircraft types is established, an aircraft precise protection zone is constructed, and the basis for determining the aircraft connection in the flight conflict network is optimized. On the basis of considering information such as aircraft heading and speed, flight conflict judgment pays attention to the different performance and status of aircraft, so that the flight conflict network can be closer to the operation mode of TBO. Through experimental simulation of the TBO operation environment and verification using radar data from Gaoqi Airport, the results show that compared with the previous flight conflict network, the model can refine the horizontal separation standards between aircraft, reduce the complexity of the airspace, reduce the workload of controllers, and improve the operation efficiency of the airspace, and provide more space for aircraft to autonomously select the optimal trajectory.

Journal of applied artificial intelligence.Vol. 1(1)
Openalex Percentile: Top 80%
Distributed Sensor Networks and Detection Algorithms
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Complexity analysis of air traffic based on complex networks under TBO mode — Mark S. Daskin, Minggong Wu, et al. · Journal of applied artificial intelligence. (2024) | TGRS Research Map | TGRS