Research on Global Path Planning Method for Urban Logistics UAV Based on Risk Maps
In recent years,the technology of logistics UAV has been rapidly developing.However,the complexity of urban low-altitude airspace,interference from the electromagnetic environment,and the safety of life and property of urban residents have posed challenges to the promotion of logistics UAV in cities.Against this backdrop,the study evaluates the comprehensive risks associated with UAV operations and generates risk maps,aiming to plan the global path of UAV with objectives of transportation safety,e-conomic efficiency,and smoothness of the route,adding constraints on the structural protection zones for UAV flight paths.Improvements have been made to the route point selection mechanism,crossover,and mutation operations based on the original NSGA-Ⅲ algorithm,making the algorithm more adaptable to the needs of route planning.Empirical evidence demonstrates that the model and algorithm can effectively avoid no-fly zones,ensuring the diversity,economic viability,and safety of the routes.They provide high-quality and diversified alternative routes for logistics transportation operators and low-altitude airspace regulators,meeting the needs of various decision-makers and offering an effective solution for the safe and efficient operation of UAV logistics activities in cities.