The invention relates to the technical field of artificial intelligence data processing, and provides a traffic data fusion method and system based on multi-source perception, which collects traffic conditions and demand data, improves the data processing efficiency through position labels and grouping, improves the data consistency through space-time matching optimization, and improves the data fusion efficiency. According to the multi-source traffic data fusion method, the data quality is guaranteed through anomaly detection and correction, systematization is constructed to improve the intelligent level of traffic management, the problem of space-time difference in multi-source traffic data fusion is effectively solved, and the efficiency of traffic management and the scientificity of decision making are remarkably improved.

    本发明涉及人工智能数据处理技术领域,本发明提供的一种基于多源感知的交通数据融合方法及系统,采集交通状况与需求数据,通过位置标签与分组提高数据处理效率,采用时空匹配优化提升数据一致性,利用异常检测与修正保障数据质量,并构建系统化实现提升交通管理智能化水平,本发明有效解决了多源交通数据融合中的时空差异问题,显著提高了交通管理的效率与决策的科学性。


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    Title :

    Traffic data fusion method and system based on multi-source perception


    Additional title:

    一种基于多源感知的交通数据融合方法及系统


    Contributors:
    LU HAOLEI (author)

    Publication date :

    2025-03-04


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung



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