Research on Unmanned Logistics Path Optimization Considering Line Crossing and Multiple Disturbance Factors
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DOI: 10.23977/ICEMESS2023.087
Corresponding Author
Yunting Wei
ABSTRACT
With the increasing demand for online shopping, the volume of express delivery is also increasing, and the requirements for delivery time are also increasing. Drone delivery has become inevitable. In the wave of intelligence and integration, unmanned streaming cars have become a research hotspot. With the rapid development and technological breakthroughs of drones, they have been widely used in the logistics industry due to their advantages of low cost and fast speed. As the market size of logistics in China increases year by year, consumers' requirements for the quality of goods have significantly increased. At the same time, national regulations and policies supporting the development of logistics have also been introduced, which has led to the rapid development of logistics related fields. This article studies the direction of path optimization for unmanned logistics under line crossings and various disturbance factors. By considering factors such as task requirements, airspace environment, and drone performance, a logistics drone path optimization model is constructed.
KEYWORDS
Line crossing, Unmanned logistics, Path optimization