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公开(公告)号：US20210209938A1
公开(公告)日：2021-07-08
申请号：US17208830
申请日：2021-03-22
Inventor： Xinjiang Lu , Dejing Dou
Abstract: A traffic pattern prediction method, device, server, system, and a computer-readable medium are provided. The method includes: acquiring historical traffic volume data of a target block within a target geographic region, and determining a traffic pattern change sequence of the target block based on the historical traffic volume data; acquiring historical point-of-interest data of multiple point-of-interest categories of the target block, and determining, for at least one point-of-interest category of the multiple point-of-interest categories, a point-of-interest change sequence of the target block based on the historical point-of-interest data; determining, for the at least one point-of-interest category, an association between the traffic pattern change sequence and the point-of-interest change sequence; and determining, based on using a traffic pattern prediction model, a traffic pattern of the target block at a future target moment based on the historical traffic volume data, the historical point-of-interest data, and the association.
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公开(公告)号：US11683656B2
公开(公告)日：2023-06-20
申请号：US17207601
申请日：2021-03-19
Inventor： Yanyan Li , Xinjiang Lu , Jianguo Duan
IPC: H04W4/021
CPC classification number: H04W4/021
Abstract: A method, device, and medium for recommending a region of interest are provided. The method includes: acquiring access data, the access data including correlation information between any two regions in a region group, in which a correlation between any two regions in the region group is acquired based on a region pair formed by the any two regions in the region group where sample users are located and the number of access times corresponding to the region pair, and in which the region group is acquired based on division of map data, and the map data includes boundary information of an entity in a real world; determining a region where a first user is currently located; and recommending region information of the region of interest for the first user based on the access data and the region where the first user is currently located.
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3.发明申请公开(公告)号：US20210224821A1
公开(公告)日：2021-07-22
申请号：US17208671
申请日：2021-03-22
Inventor： Xinjiang Lu , Shangfo Huang , Hui XIONG
Abstract: A land usage property identification method, apparatus, electronic device and storage medium are disclosed. The method includes: acquiring point-of-interest (POI) data and area-of-interest (AOI) data; dividing a target area to be identified according to road network information, and obtaining at least one block in the target area; associating acquired POI data to a corresponding target block in the at least one block; obtaining a first weight set corresponding to a corresponding category of each POI data in the target block; obtaining a second weight set corresponding to a corresponding area of each AOI data in the target block; obtaining a land usage property weight set according to the first weight set, the second weight set and a preset land usage classification standard; and identifying a land usage property of the target block according to a target weight in the land usage property weight set.
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公开(公告)号：US20210211832A1
公开(公告)日：2021-07-08
申请号：US17207601
申请日：2021-03-19
Inventor： Yanyan Li , Xinjiang Lu , Jianguo Duan
IPC: H04W4/021
Abstract: A method, device, and medium for recommending a region of interest are provided. The method includes: acquiring access data, the access data including correlation information between any two regions in a region group, in which a correlation between any two regions in the region group is acquired based on a region pair formed by the any two regions in the region group where sample users are located and the number of access times corresponding to the region pair, and in which the region group is acquired based on division of map data, and the map data includes boundary information of an entity in a real world; determining a region where a first user is currently located; and recommending region information of the region of interest for the first user based on the access data and the region where the first user is currently located.
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