CN CN120806412A
The invention discloses a graded unmanned aerial vehicle take-off and landing site selection method for urban low-altitude logistics demands, relates to infrastructure site selection, and aims to improve the distribution efficiency of urban logistics unmanned aerial vehicles and promote low-altitude economic development. Firstly, urban low-altitude logistics demands are evaluated, and key factors influencing the low-altitude logistics demands are captured; secondly, determining unmanned aerial vehicle take-off and landing point candidate points by applying a multi-stage facility polygon intersection point set method; thirdly, establishing a multi-target grading unmanned aerial vehicle take-off and landing point maximum coverage site selection model by maximizing the demand coverage rate, minimizing the construction cost and the demand repeated coverage rate; and finally, a QGPS-NSGA-III algorithm with improved design is adopted to solve the site selection model. According to the method, key factors influencing site selection can be accurately identified, multiple optimization targets are met to the maximum extent, the rationality and feasibility of unmanned aerial vehicle take-off and landing site selection are remarkably improved, and scientific decision support is provided for planning and implementation of an urban low-altitude logistics system.
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