一种基于大数据的卫星导航路线优化系统及方法
By using big data analysis to select road segments suitable for vehicle types, and combining environmental similarity and real-time traffic conditions, multiple highly adaptable route recommendations are provided. This solves the problems of illegal passage and route lag in satellite navigation systems, and improves the practicality and flexibility of the navigation system.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHANGHAI YB ELECTRONICS CO LTD
- Filing Date
- 2025-10-20
- Publication Date
- 2026-07-17
AI Technical Summary
Existing satellite navigation systems fail to fully incorporate vehicle attributes during route planning, leading to issues such as illegal passage and detours. Furthermore, they struggle to dynamically adjust routes to adapt to real-time traffic conditions, resulting in low traffic efficiency and a poor user experience.
Through big data analysis, road segments suitable for vehicle types are selected. By combining historical data with the similarity of the current environment, data on faulty vehicles are excluded. The route suitability coefficient is calculated, the best route is updated in real time, and multiple recommended routes with high suitability are provided.
Reduce the risk of illegal passage, improve the scientific nature and reliability of route planning, dynamically respond to changes in road conditions, and enhance traffic efficiency and user experience.
Smart Images
Figure CN121521144B_ABST