The invention relates to the technical field of road condition analysis, in particular to a traffic condition analysis system based on multi-source data fusion, which comprises a monitoring module, a feature extraction module, an image processing module and an analysis module. When the traffic evaluation value is smaller than or equal to a second preset traffic evaluation value and larger than a first preset traffic evaluation value, traffic evaluation values in historical records are obtained to comprehensively determine the traffic condition, and when the time variance is smaller than or equal to a preset time variance, the preset interval duration is corrected; and when the time variance is greater than the preset time variance, a specific processing mode is determined, so that the accuracy of judgment for the traffic condition is effectively improved, and the analysis efficiency for the traffic condition is further effectively improved.
本发明涉及路况分析技术领域,尤其涉及一种基于多源数据融合的交通状况分析系统,包括,监测模块、特征提取模块、图像处理模块、分析模块,针对求得的交通评价值对分析区域内的交通状况进行确定,在交通评价值小于等于第二预设交通评价值且大于第一预设交通评价值时,获取历史记录中的交通评价值综合对交通状况进行确定,在时间方差小于等于预设时间方差时,对预设间隔时长进行修正;在时间方差大于预设时间方差时,确定具体的处理方式,在有效提高针对交通状况的判定的准确性的同时,进一步有效提高了针对交通状况的分析效率。
Traffic condition analysis system based on multi-source data fusion
一种基于多源数据融合的交通状况分析系统
2024-09-20
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
Short-Term Traffic Condition Prediction Based on Multi-Source Data Fusion and LSTM
SAE Technical Papers | 2020
|Short-Term Traffic Condition Prediction Based on Multi-Source Data Fusion and LSTM
British Library Conference Proceedings | 2020
|Traffic condition investigation and analysis method and system based on multi-data fusion
European Patent Office | 2024
|Road traffic event analysis method based on multi-source data fusion
European Patent Office | 2024
|