Efficiency of a transportation matching system using geocoded provider models

    公开(公告)号:US11494714B2

    公开(公告)日:2022-11-08

    申请号:US16780712

    申请日:2020-02-03

    Applicant: Lyft, Inc.

    Abstract: This disclosure describes a transportation matching system that manages the allocation of transportation providers by training and utilizing multiple machine-learning models to identify, allocate, and serve specific transportation providers with customized opportunities to relocate the transportation providers between geocoded areas in a geocoded region. For instance, the transportation matching system trains and utilizes an incremental provider model, a provider allocation model, and personalized provider behavioral models as well as a customized provider interface generator to satisfy anticipated transportation requests and improve transportation matching within a geocoded region.

    EFFICIENCY OF A TRANSPORTATION MATCHING SYSTEM USING GEOCODED PROVIDER MODELS

    公开(公告)号:US20200250600A1

    公开(公告)日:2020-08-06

    申请号:US16780712

    申请日:2020-02-03

    Applicant: Lyft, Inc.

    Abstract: This disclosure describes a transportation matching system that manages the allocation of transportation providers by training and utilizing multiple machine-learning models to identify, allocate, and serve specific transportation providers with customized opportunities to relocate the transportation providers between geocoded areas in a geocoded region. For instance, the transportation matching system trains and utilizes an incremental provider model, a provider allocation model, and personalized provider behavioral models as well as a customized provider interface generator to satisfy anticipated transportation requests and improve transportation matching within a geocoded region.

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