基于建成环境约束的交通流量与运行状态联合预测方法
By constructing a structured built-up environment relationship structure and node-level traffic capacity verification, the inconsistency problem of built-up environment constraints in traffic prediction in existing technologies is solved, realizing joint prediction and consistency verification of traffic flow and operating status, thereby improving the accuracy of prediction and its practical application value.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SHANDONG UNIV OF SCI & TECH
- Filing Date
- 2026-06-18
- Publication Date
- 2026-07-17
AI Technical Summary
Existing methods for predicting traffic flow and operational status fail to effectively incorporate built-up environment constraints, resulting in inconsistent prediction results in terms of spatial differences and temporal evolution. Furthermore, they lack a complete expression and verification of node-level capacity and saturation.
The traffic flow and operation status joint prediction method based on built environment constraints constructs a structured built environment relationship structure, encodes environment vectors around checkpoint nodes, and performs traffic spatiotemporal prediction within the same framework. It also combines node-level capacity and saturation for consistency verification and correction.
It improves the accuracy and stability of traffic forecasting, can fully express the spatial differences and temporal evolution of traffic caused by the built environment, outputs reliable state results that can be directly used for traffic management, and enhances the engineering rationality and interpretability of the forecast results in practical applications.
Smart Images
Figure CN122416743A_ABST