TY - GEN
T1 - Simulation-Based Evaluation of Collision Avoidance System for Medium and Large UAVs
AU - Cheng, Xingye
AU - Zhang, Xuejun
AU - Xiao, Yue
AU - Yang, Bingjie
AU - Li, Chenglong
N1 - Publisher Copyright:
© Press of Acta Aeronautica et Astronautica Sinica 2026.
PY - 2026
Y1 - 2026
N2 - In order to integrate unmanned aerial vehicle (UAV) into the national airspace system safely, one of the keys is to realize UAV detect and avoid (DAA). Validating the effectiveness of DAA systems through rigorous simulation is crucial to ensure their reliability and compliance with aviation safety requirements. In this study, leveraging manned aircraft trajectory data obtained from RadarBox, Monte Carlo simulations are conducted to generate potential UAV flight paths for DAA evaluation. Subsequently, the birth-death process is employed to obtain the initial air risks associated with UAV flights. To evaluate the effectiveness of the DAA system, the same methodological framework is utilized to assess the mitigated risks after DAA system implementation. Based on simulations using manned aircraft data over the Chengdu region, the risk is successfully reduced from 1.65111×10-6per flight hour to 6.12871×10-8per flight hour, ensuring that UAV operations can meet the safety standards.
AB - In order to integrate unmanned aerial vehicle (UAV) into the national airspace system safely, one of the keys is to realize UAV detect and avoid (DAA). Validating the effectiveness of DAA systems through rigorous simulation is crucial to ensure their reliability and compliance with aviation safety requirements. In this study, leveraging manned aircraft trajectory data obtained from RadarBox, Monte Carlo simulations are conducted to generate potential UAV flight paths for DAA evaluation. Subsequently, the birth-death process is employed to obtain the initial air risks associated with UAV flights. To evaluate the effectiveness of the DAA system, the same methodological framework is utilized to assess the mitigated risks after DAA system implementation. Based on simulations using manned aircraft data over the Chengdu region, the risk is successfully reduced from 1.65111×10-6per flight hour to 6.12871×10-8per flight hour, ensuring that UAV operations can meet the safety standards.
KW - air risk
KW - detect and avoid
KW - manned aircraft
KW - system evaluation
KW - unmanned aerial vehicle
UR - https://www.scopus.com/pages/publications/105020240188
U2 - 10.1007/978-981-95-3007-6_35
DO - 10.1007/978-981-95-3007-6_35
M3 - 会议稿件
AN - SCOPUS:105020240188
SN - 9789819530069
T3 - Lecture Notes in Mechanical Engineering
SP - 477
EP - 487
BT - Proceedings of the 2nd Aerospace Frontiers Conference, AFC 2025 - Volume II
PB - Springer Science and Business Media Deutschland GmbH
T2 - 2nd Aerospace Frontiers Conference, AFC 2025
Y2 - 11 April 2025 through 14 April 2025
ER -