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    VEHICLE MOBILITY PATTERNS BASED ON USER LOCATION DATA
    1.
    发明申请
    VEHICLE MOBILITY PATTERNS BASED ON USER LOCATION DATA 审中-公开

    公开(公告)号：WO2023023149A1

    公开(公告)日：2023-02-23

    申请号：PCT/US2022/040591

    申请日：2022-08-17

    Applicant: ALLSTATE INSURANCE COMPANY

    Inventor： STROILA, Matei ,  ALWAR, Narayanan ,  GIBSON, Timothy W. ,  CHINTAKINDI, Sunil

    IPC: H04W4/02 ,  H04W4/029 ,  G06Q40/08

    Abstract: Methods, computer-readable media, software, and system may generally build and quantify mobility patterns based on user location data, both at an individual level and an aggregate level. The system may determine the origin and destination data for each trip taken by a user. The system may then define areas of mobility using a mobility graph built from the data. The graph may include nodes and edges. In some examples, the nodes are constructed from the origins and destinations of the trajectories using spatial clustering techniques. Further, the edges between nodes may be constructed based on the trips between them, such as two nodes are connected by an edge if there is at least one trip between them. The edges may be given different weights based on trip frequencies. The system may then determine a region of mobility using the generated mobility graph and data clustering techniques.

    VEHICLE COMMUTE LOCATION PATTERNS BASED ON USER LOCATION DATA
    2.
    发明申请
    VEHICLE COMMUTE LOCATION PATTERNS BASED ON USER LOCATION DATA 审中-公开

    公开(公告)号：WO2023023140A1

    公开(公告)日：2023-02-23

    申请号：PCT/US2022/040577

    申请日：2022-08-17

    Applicant: ALLSTATE INSURANCE COMPANY

    Inventor： STROILA, Matei ,  ALWAR, Narayanan ,  GIBSON, Timothy W. ,  CHINTAKINDI, Sunil

    IPC: G06Q40/08

    Abstract: Methods, computer-readable media, software, and system may generally identify, determine, and understand the significance of commute location data using telematics data. The system and methods may identify significant commute location data and points by analyzing telematics data and capturing GPS locations associated with the mobility of a user. The commute location data may be classified as data points including origin, destination, and waypoints. This commute location data may be used with metadata to identify significant locations associated with the user. The commute location data may also be used with metadata to understand mobility behavior of the user. Lastly, the commute location data may be used with metadata to determine risk associated with the user, such as based on a risk map.

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