The invention relates to a high-speed rail station trafficability calculation and bottleneck identification method and device and a medium, and relates to the field of train signal control, and the method comprises the following steps: obtaining CTC system historical data, and extracting key information; according to the key information, calculating the throat area trafficability and the actual utilization rate in the busy period and the arrival line trafficability and the actual utilization rate in the busy period; and comparing the actual utilization rate of the throat area in the busy period with the actual utilization rate of the arrival-departure line in the busy period, and identifying the capability bottleneck. Compared with the prior art, the method has the advantages that the station trafficability is calculated on the basis of actual historical data, the bottleneck of the station trafficability can be identified and the like, the strategy can be adopted in a targeted manner after the running delay occurs, and the station transportation efficiency or the recovery capability after the delay is improved.

    本发明涉及一种高铁车站通过能力计算与瓶颈识别方法、设备及介质,涉及列车信号控制领域,其中方法包括以下步骤:获取CTC系统历史数据并提取关键信息;根据关键信息计算繁忙时段咽喉区通过能力和实际利用率、繁忙时段到发线通过能力和实际利用率;比较繁忙时段咽喉区实际利用率和繁忙时段到发线实际利用率,识别能力瓶颈。与现有技术相比,本发明具有基于实际历史数据计算车站通过能力、能够识别车站通过能力的瓶颈等优点,有助于在行车发生延误后有针对性采取策略,提高车站运输效率或延误后的恢复能力。


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    Title :

    High-speed rail station trafficability calculation and bottleneck identification method, equipment and medium


    Additional title:

    一种高铁车站通过能力计算与瓶颈识别方法、设备及介质


    Contributors:
    JIANG YAODONG (author) / SHI LIJUAN (author) / FEI ZHENHAO (author) / WU XIANG (author) / WANG XINGLI (author) / FENG ZHENGUO (author) / WANG RUYUE (author) / YANG ZHENHUA (author) / CHEN ZHENJIE (author) / SI JISHENG (author)

    Publication date :

    2024-02-23


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    B61L Leiten des Eisenbahnverkehrs , GUIDING RAILWAY TRAFFIC



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