Transactions of Nanjing University of Aeronautics & Astronautics
A High-Precision Risk Analysis Model of Logistics UAV Network with Multiple Constraining Factors
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Abstract:
Logistics unmanned aerial vehicles（UAVs） have brought new opportunities for the expansion of the global express logistics industry， especially to effectively overcome the shortcomings of ground transportation. However， since logistics UAVs are still in their infancy， it is necessary to analyze the collision risk during their operation. Using the theory of collision modeling in conflict zones， this study examines the potential safety hazards of logistics UAVs flying in specific airspace according to their characteristics and limitations. First， to measure the impact of various factors such as reliability and failure rates on the safe operation of logistics UAVs in certain airspace， a collision risk analysis model between logistics UAVs and other drones in a specific airspace is established. Second， by analyzing the factors that affect the safe operation of logistics UAVs， including airspace conditions， human-machine systems， environmental conditions， and management conditions， a collision risk analysis model between logistics UAVs and civil aircraft operating in particular airspace is established. To verify the accuracy of the proposed models， the models in both cases are solved and compared with the safety target criteria established by the International Civil Aviation Organization （ICAO）.
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Project Supported:
This work was supported by the National Natural Science Foundation of China （No.U2233208）.
Clc Number:
U8
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