The invention relates to the technical field of intelligent transportation, in particular to a special road section abnormal state multiple point location identification method based on spatial autocorrelation. According to the method, the feature category set of the abnormal operation state is constructed, and spatial self-correlation analysis is performed on the feature category set, so that the acquired spatial correlation features of the spatial correlation data of the abnormal state are more obvious, and the influence of the abnormal operation state data which only influences the local traffic flow state and is weak in spatial correlation is reduced; and thus, the accuracy of identifying the multiple point locations is higher.

    本发明涉及智能交通技术领域,具体涉及基于空间自相关的特殊路段异常状态多发点位鉴别方法。通过构建异常运行状态的特征类目集,并对其进行空间自相关分析,从而使获取的异常状态空间关联数据空间相关特征更加明显,降低了仅影响局部交通流状态、空间相关性弱的异常运行状态数据的影响力,进而使鉴别多发点位的准确性更高。


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    Title :

    Special road section abnormal state multiple point location identification method based on spatial autocorrelation


    Additional title:

    基于空间自相关的特殊路段异常状态多发点位鉴别方法


    Contributors:
    CHEN KAIQUN (author) / LU SHANFENG (author) / LUO ZHONGBIN (author) / YANG HONGQUAN (author) / YE QING (author) / LU ZHIYUAN (author) / LI MIN (author) / ZHOU XIN (author) / XIE YAOHUA (author)

    Publication date :

    2023-04-07


    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



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