Research on logistics UAV path planning
Yujie shen, Liying Jin, Kelian Hu, Xindong Hu, Chaohang Xue · 2023
This article is based on the logistics drone to deliver path planning problems in the urban environment. Combined with the flying characteristics of drones and the distribution location, considering the conditions such as the customer's collection and delivery needs, the logistics drone's delivery path planning model is established. Secondly, the model is processed. For the first time, the NSGA-II algorithm is used to solve the order of the distribution path of the logistics drone, and the second will be solved by improving the traditional algorithm. In the drone execution task, if the weight coefficient of the target functions is adjusted, different transportation sequences and paths can be obtained, and different planning results can be obtained by adjusting the attention of customer satisfaction. The analysis of the algorithm is available. Compared with the traditional A*algorithm, the algorithm transportation path adopted in this article is shorter and the delivery is faster.