The invention discloses a traffic subarea division method and device based on cross-modal feature association, and a medium, and the method specifically comprises the steps: obtaining the number of first vehicles passing through every two adjacent initial checkpoint devices in a historical time period, obtaining a plurality of key checkpoint device clusters according to the number of the first vehicles and a preset number of vehicles, and obtaining a plurality of key checkpoint device clusters; when the number of the key checkpoint devices in the cluster is larger than a preset key checkpoint number threshold value, the second vehicle number of every two adjacent key checkpoint devices in the cluster is obtained, and according to the second vehicle number and the number of vehicles passing through the multiple key checkpoint devices connected in sequence, an initial traffic sub-area is divided; and finally, dividing a target traffic sub-area. According to the invention, the rationality of traffic subarea division can be improved, and effective traffic subarea division reference can be provided for traffic management personnel.
本发明公开了一种基于跨模态特征关联的交通子区划分方法、设备、介质,所述方法具体包括:获取历史时间段内经过每相邻的两个初始卡口设备的第一车辆数量,然后根据第一车辆数量和预设的车辆数量,获取到若干个关键卡口设备簇,当簇中的关键卡口设备的数量大于预设的关键卡口数量阈值时,获取这一簇中的每相邻两个关键卡口设备的第二车辆数量,并根据第二车辆数量和经过若干个依次相接的关键卡口设备的车辆数量,划分出初始交通子区,最终划分出目标交通子区;本发明能够提高交通子区划分的合理性,有利于为交通管理人员提供有效的交通子区划分参考。
Traffic subarea division method and device based on cross-modal feature association, and medium
基于跨模态特征关联的交通子区划分方法、设备、介质
2025-03-21
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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