The invention discloses a road traffic operation situation multi-time scale prediction method, which comprises the following steps of: A, firstly, acquiring traffic data of a plurality of roads through a traffic data acquisition sensor, and preprocessing the traffic data through a data preprocessing unit; b, analyzing the preprocessed data through a main control unit, then transmitting the analyzed data to a screening unit, and screening out traffic information in an abnormal operation state; c, transmitting the screened data to a traffic data classification unit for data classification to obtain classified traffic data in a normal state; d, sending the classified traffic data to an anomaly analysis unit for anomaly analysis, and predicting future traffic data through a deep learning algorithm; and E, transmitting the predicted future optimal communication data to a social network through a data transmission unit for real-time sharing by the user. The prediction method adopted by the invention is simple to operate and high in precision, provides a quick response signal for related management departments, and provides a travel decision basis for residents.

    本发明公开了一种道路交通运行态势多时间尺度预测方法,包括以下步骤:A、首先通过交通数据采集传感器采集多条道路的交通数据,并通过数据预处理单元进行预处理;B、将预处理后的数据通过主控单元分析后传输至筛选单元中,筛选出非正常运行状态下的交通信息;C、将筛选后的数据传输至交通数据分类单元中进行数据分类,得到正常状态下分类后的交通数据;D、之后将分类后的交通数据发送至异常分析单元中进行异常分析,并且通过深度学习算法预测未来交通数据;E、将预测的未来佳通数据通过数据传输单元传输至社交网络上供用户实时分享;本发明采用的预测方法操作简单,精度高,为相关管理部门提供快速响应信号,为居民提供出行决策依据。


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    Title :

    Road traffic operation situation multi-time scale prediction method


    Additional title:

    一种道路交通运行态势多时间尺度预测方法


    Contributors:
    LYU LIANGXUAN (author) / WU YANHONG (author)

    Publication date :

    2020-05-22


    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 / G06K Erkennen von Daten , RECOGNITION OF DATA




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