一种基于用户画像的居民出行需求预测方法及系统
By generating a prediction coordinate matrix and a selection probability matrix based on user profiles, and combining spatial interpolation and semantic analysis, the problem of insufficient spatial resolution and data fragmentation in existing technologies is solved, and accurate prediction of residents' travel demand and interactive decision support are achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- URBAN PLANNING & DESIGN INST OF SHENZHEN UPDIS
- Filing Date
- 2026-04-28
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies for predicting residents' travel destinations suffer from insufficient spatial resolution, a lack of interactive exploration mechanisms, and fragmented data analysis. This makes it difficult for planning managers to characterize the probability distribution of travel at a fine geographical scale and make dynamic adjustments, and makes it impossible to quickly verify changes in passenger flow distribution under traffic conditions.
By using a prediction method based on user profiles, a prediction coordinate matrix and a selection probability matrix are generated. A continuous probability distribution map is generated by combining a spatial interpolation strategy, and a heat map is rendered in an interactive scene to support user interactive selection. Finally, a prediction conclusion report is generated through a semantic analysis model.
It enables accurate prediction of residents' travel demand at a fine geographical scale, supports interactive exploration and automatic analysis and integration, improves the efficiency and practicality of decision-making, and provides easy-to-understand business insights and decision support.
Smart Images
Figure CN122114557B_ABST