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    Model based on time sequence analysis and residual matching

    Model based on time sequence analysis and residual matching

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    The invention discloses a short-time traffic flow prediction model based on time sequence analysis and residual matching. The random characteristic of the traffic flow is the root cause of difficulty in accurately predicting the traffic flow, and in order to better fit the random fluctuation in the traffic flow data, the model adopts a decomposition thought to divide the original traffic flow data into a linear part and a residual error part. The method comprises the following steps: firstly, calculating a linear part in data by using a time sequence analysis technology, and segmenting a residual part to construct a residual vector library; and then matching the residual vectors by using a pattern matching algorithm, and further fitting random fluctuations in the traffic flow data in a mode of searching similar residual vectors. Compared with other models based on a pattern matching algorithm, the model has certain advantages in stability and prediction precision.

    本发明公开了一种基于时序分析和残差匹配的短时交通流预测模型。交通流的随机特性是导致交通流难以被准确预测的根本原因，为了更好地拟合交通流数据中的随机波动，本模型采用分解的思路，将原始交通流数据划分为线性部分和残差部分。首先利用时间序列分析技术计算数据中的线性部分，并对剩余的残差部分进行切分以构建残差向量库。然后利用模式匹配算法对残差向量进行匹配，通过寻找相似残差向量的方式进一步拟合交通流数据中的随机波动。本模型相对于其他基于模式匹配算法的模型而言，在稳定性和预测精度上具有一定的优势。

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    Titel :

    Model based on time sequence analysis and residual matching

    Weitere Titelangaben:

    一种基于时序分析和残差匹配的模型

    Beteiligte:
    CHEN YANRU (Autor:in) / LIU CHANG (Autor:in) / LIN LUOJIE (Autor:in) / ZHANG YUANYUAN (Autor:in) / WEI LIANGXIONG (Autor:in) / HU SHUNFANG (Autor:in) / WANG WEI (Autor:in) / WANG HAO (Autor:in) / LIANG GANG (Autor:in) / XU CHUN (Autor:in)
    Erscheinungsdatum :

    2021-04-16

    Medientyp :

    Patent

    Format :

    Elektronische Ressource

    Sprache :

    Chinesisch

    Klassifikation :

    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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