基于需求预测驱动的低空物流动态航路规划方法及系统
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SOUTH CHINA UNIV OF TECH
- Filing Date
- 2026-01-19
- Publication Date
- 2026-07-17
AI Technical Summary
Existing low-altitude logistics route planning technologies cannot adapt to dynamic changes in demand, resulting in planning delays, congestion, lack of coordination in resource allocation, and low system efficiency.
A demand-forward-driven dynamic route planning method for low-altitude logistics is adopted. This method uses a spatiotemporal graph neural network to predict future demand, constructs a dynamic airspace state model, performs global route planning, and establishes an evaluation and feedback mechanism to achieve forward-looking route generation and resource optimization.
It improves the operational efficiency, robustness, and scalability of the low-altitude logistics system, solves the problems of planning lag and uncoordinated resource allocation, and ensures the system operates efficiently in a dynamic environment.
Smart Images
Figure CN121960916B_ABST