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An Enhanced Event-Based Model for Integrated Flight Safety of Fixed-Wing UAVs.

Xin Ma1, Xikang Lu1, Hongwei Li1

  • 1College of Air Traffic Management, Civil Aviation Flight University of China, Deyang 618307, China.

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Summary

This study improves safety risk analysis for integrated flights of manned aircraft and unmanned aerial vehicles (UAVs). The new model enhances collision risk assessment, increasing air traffic flow by over 120% in low-altitude airspace.

Keywords:
integration of flight track planningmixed airspace traffic flowmulti-dimensional geometric featuresprecision and quantifiable safety intervals

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Area of Science:

  • Aviation Safety
  • Aerospace Engineering
  • Risk Management

Background:

  • Integrated flight operations of manned aircraft and unmanned aerial vehicles (UAVs) in low-altitude airspace present significant safety challenges.
  • Existing safety risk analysis and conflict assessment models lack comprehensive parameter coverage and adaptability for mixed-operation scenarios.

Purpose of the Study:

  • To enhance the foundational Event model for improved safety risk analysis and conflict assessment in mixed-traffic low-altitude airspace.
  • To develop a more reliable and valid collision risk model incorporating multidimensional geometry and flight performance analysis.

Main Methods:

  • Enhanced the foundational Event model by integrating UAV geometric features, aerodynamic mechanisms, design dimensions, and performance metrics.
  • Developed the Enhanced Event-Based Framework for Multidimensional Geometry and Quasi-Monte Carlo Analysis of Flight Performance (EMGF-M).
  • Validated the model's effectiveness through experimental results and application in integrated flight procedure design.

Main Results:

  • The improved Event collision model provides quantifiable assessments of safety risks and safe separation distances, meeting International Civil Aviation Organization (ICAO) standards.
  • Application of the model in integrated flight procedure design at a general airport increased air traffic flow from 9.2 to 20.9 operations per hour.
  • Demonstrated enhanced parameter coverage and scenario adaptability compared to the basic Event model.

Conclusions:

  • The EMGF-M offers a reliable method for assessing safety risks in mixed airspace operations.
  • The study provides guidance for determining quantifiable separation minima for integrated flight trajectory planning.
  • The enhanced model significantly improves the safety and efficiency of integrated manned and unmanned aircraft operations.