With the rapid development of Unmanned Aerial Vehicles (UAV) technology and the continuous expansion of application fields, UAVs show great potential in many fields, but their operation in general aviation airports still has significant safety risks. This paper takes Zigong Fengming General Aviation Airport as the research object, and adopts two collision risk models, EVENT model and REICH model, to carry out simulation experiments, construct a vertical collision risk assessment model for UAVs in the air, and quantitatively assess the vertical collision risk of UAVs in general aviation airports. Combined with the actual situation of the airport airspace, the actual parameters are brought into the EVENT model and REICH model for calculation, and the comparison of the results of the two models reveals that: the EVENT model has an advantage in calculation speed and operation convenience, but the EVENT model has many constraints and parameter entries, and the error samples are few, which leads to the poor precision of the calculation results, and thus cannot provide sufficiently accurate risk assessment. Risk assessment. In contrast, although the REICH model is more complex in terms of parameter setting and calculation process, its evaluation results are more accurate and can better reflect the actual collision risk in flight. This paper concludes that the EVENT model is an effective tool for scenarios that require quick assessment and decision-making, while the REICH model is more appropriate for situations that require highly accurate assessment results.


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    Titel :

    Vertical collision risk study of unmanned aerial vehicles at general aviation airports


    Beteiligte:
    Shao, Xiaopeng (Herausgeber:in) / Xie, Chuanjiang (Autor:in) / Huang, Chi (Autor:in) / Yuan, Lijun (Autor:in) / Chen, Xuexin (Autor:in) / Zhou, Chao (Autor:in)

    Kongress:

    Fourth International Computational Imaging Conference (CITA 2024) ; 2024 ; Xiamen, China


    Erschienen in:

    Proc. SPIE ; 13542 ; 135424G


    Erscheinungsdatum :

    25.02.2025





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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