This article mainly studies the path planning of unmanned aerial vehicle logistics delivery, considering the constraints in the process of unmanned aerial vehicle delivery, and establishes a unmanned aerial vehicle flight environment model based on logistics management. Based on the performance constraints and task requirements of logistics drones, a multi constraint logistics drone path planning model is established from the perspectives of transportation safety, economy, and speed. The established constraints include flight altitude, maximum angle constraints, energy consumption constraints, etc. Then, a hybrid algorithm is used to plan the drone path, and dynamic window algorithm is used for local path planning, Finally, the hybrid algorithm was fused through a smoothing strategy, and simulation experiments confirmed that the drone’s flight range, energy consumption, and planning time were significantly improved during the delivery process.
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