The invention relates to artificial intelligence, and provides a signalized intersection analysis method and equipment. The method comprises the following steps: acquiring a vehicle passing time sequence of each preset lane of a signalized intersection in each preset time period; according to the vehicle passing time sequence, calculating a vehicle head time distance sequence of each preset lane of the signalized intersection in each preset time period; acquiring signal timing data of each preset lane of the signalized intersection in each preset time period; correcting and matching the signaltiming data according to the vehicle passing time sequence; identifying a saturated vehicle head time interval sequence of each preset lane of the signalized intersection in each preset time period according to the vehicle head time interval sequence; removing abnormal data in the saturated headway sequence according to the corrected and matched signal timing data to obtain a target saturated headway sequence; and calculating the traffic capacity of the signalized intersection according to the target saturated headway sequence. According to the invention, the accuracy of signal intersection traffic capacity analysis can be improved.

    本发明涉及人工智能,提供一种信号交叉口分析方法及相关设备。所述方法包括:获取信号交叉口每个预设时间段每个预设车道的过车时间序列;根据所述过车时间序列计算信号交叉口每个预设时间段每个预设车道的车头时距序列;获取信号交叉口每个预设时间段每个预设车道的信号配时数据;根据所述过车时间序列对所述信号配时数据进行修正匹配;根据所述车头时距序列识别信号交叉口每个预设时间段每个预设车道的饱和车头时距序列;根据修正匹配后的信号配时数据去除所述饱和车头时距序列中的异常数据,得到目标饱和车头时距序列;根据所述目标饱和车头时距序列计算信号交叉口的通行能力。本发明可以提高信号交叉口通行能力分析的准确性。


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    Title :

    Signalized intersection analysis method and equipment


    Additional title:

    信号交叉口分析方法及相关设备


    Contributors:
    YANG SHUANGJIAN (author) / LI FULIANG (author) / ZHANG YISHENG (author) / GAO LEI (author)

    Publication date :

    2020-10-23


    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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