Research on logistics UAV path planning

Yujie Shen; Liying Jin; Kelian Hu; Xindong Hu; Chaohang Xue

doi:10.1117/12.2684766

21 July 2023 Research on logistics UAV path planning

Yujie Shen, Liying Jin, Kelian Hu, Xindong Hu, Chaohang Xue

Proceedings Volume 12717, 3rd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2023); 127170R (2023) https://doi.org/10.1117/12.2684766
Event: 3rd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2023), 2023, Wuhan, China

Abstract

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.

Citation Download Citation

Yujie Shen, Liying Jin, Kelian Hu, Xindong Hu, and Chaohang Xue "Research on logistics UAV path planning", Proc. SPIE 12717, 3rd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2023), 127170R (21 July 2023); https://doi.org/10.1117/12.2684766

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