一种公交客流评估方法、装置、设备和存储介质
By acquiring bus card data, vehicle trajectory data, and route data, and combining them with community vector data and influencing factors, a machine learning model is used to assess bus passenger flow. This solves the problem of inaccurate assessment results in existing technologies and achieves more accurate bus passenger flow assessment and operation optimization.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- WUHAN URBAN PLANNING & DESIGN INST
- Filing Date
- 2026-04-07
- Publication Date
- 2026-07-17
AI Technical Summary
Existing methods for assessing public transport passenger flow are insufficient to accurately identify influencing factors and fail to consider the spatial heterogeneity of public transport passenger flow, resulting in assessment results that do not reflect reality.
By acquiring bus card data, bus trajectory data, and bus route data, station passenger flow data is generated. Combined with community vector data and influencing factors, machine learning models are used for analysis to generate bus passenger flow assessment results.
It improves the accuracy of public transport passenger flow assessment results, enables the identification of influencing factors, optimizes public transport operation strategies, and enhances public transport capacity.
Smart Images
Figure CN121982901B_ABST