A time-aware urban area representation generation method, system, terminal and storage medium based on dynamic condition modulation
By dividing the urban area into multiple regions, extracting and fusing static urban data and OD flow data, and using a multilayer perceptron network for dynamic modulation, a time-aware urban area representation is generated. This solves the problem that existing technologies cannot collaboratively reflect the long-term stable attributes and dynamic evolution patterns of a region, and realizes a dynamic representation of the urban area.
Patent Information
- Application Number
- CN202611131891.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-07-29
- Publication Date
- 2026-08-28
AI Technical Summary
Existing methods for generating urban regional representations are insufficient to synergistically reflect the long-term stable attributes and dynamic evolution patterns of a region, and cannot effectively depict the dynamic semantic differences in the same region at different times due to changes in population movement and activity status.
The target city area is divided into multiple urban regions. Static urban data and OD flow data are obtained. Multiple modal features are extracted and fused through a static feature extractor. Dynamic state sequences are modeled in combination with OD flow data. Scaling parameters and offset parameters are generated using a multilayer perceptron network for dimension-wise modulation to obtain a time-aware urban region representation.
The generated time-aware regional representation can synergistically reflect the long-term stable attributes and dynamic evolution patterns of a region, maintain the static semantic consistency and local temporal continuity of the region, and is suitable for dynamic urban tasks such as public transport demand forecasting and taxi demand forecasting.