基于机电一体化的城市交通智能协同监测方法及系统
The mechatronics-integrated urban traffic intelligent collaborative monitoring system solves the problems of poor coordination of multi-source data and low prediction accuracy, and realizes accurate and real-time prediction and early warning of urban traffic congestion, reduces the duration of road congestion, and improves the initiative of traffic management and data quality.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- JIANGSU VOCATION & TECHNICAL COLLEGE OF FINANCE & ECONOMICS
- Filing Date
- 2025-10-17
- Publication Date
- 2026-07-17
AI Technical Summary
Existing urban traffic monitoring systems lack a multi-source data fusion mechanism, resulting in data silos that make it difficult to achieve accurate and real-time traffic congestion prediction and early warning. This leads to passive traffic management responses, increased costs, and a reduced travel experience for citizens.
The mechatronics-integrated urban traffic intelligent collaborative monitoring system, through the collaborative work of the data acquisition module, prediction model construction module, data cluster processing module, and effective feedback module, sets traffic congestion flow thresholds, constructs basic datasets, establishes traffic characteristic prediction models, creates multi-source monitoring data clusters and calculates duration differences, and finally selects the prediction sequence with the highest effective feedback rate to output the results.
It enables accurate and real-time prediction of urban traffic congestion, provides traffic management during morning and evening rush hours, reduces the duration of road congestion, improves data quality and system robustness, and has the adaptability to maintain prediction accuracy under changing road conditions.
Smart Images
Figure CN121393134B_ABST