Volume 42 Issue 3
Jun.  2024
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AI Yi, WAN Qifeng, HAN Xun, LI Yueyang, YU Yingxue, CONG Wei. A Risk Assessment Method of Multi-aircraft Interaction for Complex Airspace[J]. Journal of Transport Information and Safety, 2024, 42(3): 1-10. doi: 10.3963/j.jssn.1674-4861.2024.03.001
Citation: AI Yi, WAN Qifeng, HAN Xun, LI Yueyang, YU Yingxue, CONG Wei. A Risk Assessment Method of Multi-aircraft Interaction for Complex Airspace[J]. Journal of Transport Information and Safety, 2024, 42(3): 1-10. doi: 10.3963/j.jssn.1674-4861.2024.03.001

A Risk Assessment Method of Multi-aircraft Interaction for Complex Airspace

doi: 10.3963/j.jssn.1674-4861.2024.03.001
  • Received Date: 2023-11-24
    Available Online: 2024-10-21
  • To assess the interaction risks among multiple aircraft in complex traffic scenarios, a concept of "interac-tion potential fields of multiple aircraft and airspace environment" is developed, which is based on the similarity be-tween traffic risk and potential field theory. The interaction potential fields (IPF) generated by aircraft, critical air-space points (CAPs) and air routes (ARs) are defined, respectively, and the generation functions of IPFs are formu-lated. Considering the short-term effects of historical trajectories on the aircraft, a time-varying historical trajectory IPF is added to the real-time aircraft IPFs; considering the requirement of safety intervals in horizontal and vertical dimensions for aircraft, the parameters of rule-compliant IPFs are found; then, a fusion method is developed to integrate IPFs generated by aircraft, CAPs and ARs. Inspired by the relationship between potential field force and poten-tial energy, a potential energy-based risk index is introduced, denoted as RPE, showing the changes of risk over time in multi-aircraft scenarios from the perspective of energy. To validate the effectiveness of the proposed method, a simulation based on a real airspace section is introduced, and the results show that: ① RPE is much closer to the precepted risk by the air traffic operators (RSE) compared with traditional risk indicators; ② RPE is more sensitive at certain intervals than the conflict time-based index RATSR, with a mean absolute error of 0.077. In brief, the pro-posed risk assessment method could offer more precise decision support for risk management in complex air traffic scenarios in the future.

     

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