Geohash-related location predictions

    公开(公告)号:US10820148B2

    公开(公告)日:2020-10-27

    申请号:US16859797

    申请日:2020-04-27

    申请人: Lyft, Inc.

    摘要: Embodiments provide techniques, including systems and methods, for determining an estimated target pickup location for a corresponding transport request at a particular location, such as associated with a particular geohash. A requestor may send a request that is associated with a location that does not reflect the requestor's intent regarding where they would like to be met by the provider (i.e., “picked up”). GPS inaccuracies may cause the request location to inaccurately indicate where the requestor will be; for example, the request location may be inside a building while the requestor is waiting on a curb around a far side of the building. The target pickup location allows for a requestor and a provider to meet more efficiently, reducing delay for the provider and improving the efficiency of the system by preventing provider system resources from being taken from other service areas and decreasing provider downtime upon matching.

    GEOHASH-RELATED LOCATION PREDICTIONS
    12.
    发明申请

    公开(公告)号:US20200260219A1

    公开(公告)日:2020-08-13

    申请号:US16859797

    申请日:2020-04-27

    申请人: Lyft, Inc.

    摘要: Embodiments provide techniques, including systems and methods, for determining an estimated target pickup location for a corresponding transport request at a particular location, such as associated with a particular geohash. A requestor may send a request that is associated with a location that does not reflect the requestor's intent regarding where they would like to be met by the provider (i.e., “picked up”). GPS inaccuracies may cause the request location to inaccurately indicate where the requestor will be; for example, the request location may be inside a building while the requestor is waiting on a curb around a far side of the building. The target pickup location allows for a requestor and a provider to meet more efficiently, reducing delay for the provider and improving the efficiency of the system by preventing provider system resources from being taken from other service areas and decreasing provider downtime upon matching.

    GEOHASH-RELATED LOCATION PREDICTIONS
    13.
    发明申请

    公开(公告)号:US20190306657A1

    公开(公告)日:2019-10-03

    申请号:US16369998

    申请日:2019-03-29

    申请人: Lyft, Inc.

    摘要: Embodiments provide techniques, including systems and methods, for determining an estimated target pickup location for a corresponding transport request at a particular location, such as associated with a particular geohash. A requestor may send a request that is associated with a location that does not reflect the requestor's intent regarding where they would like to be met by the provider (i.e., “picked up”). GPS inaccuracies may cause the request location to inaccurately indicate where the requestor will be; for example, the request location may be inside a building while the requestor is waiting on a curb around a far side of the building. The target pickup location allows for a requestor and a provider to meet more efficiently, reducing delay for the provider and improving the efficiency of the system by preventing provider system resources from being taken from other service areas and decreasing provider downtime upon matching.

    GEOHASH-RELATED LOCATION PREDICTIONS
    14.
    发明申请

    公开(公告)号:US20180288568A1

    公开(公告)日:2018-10-04

    申请号:US15880396

    申请日:2018-01-25

    申请人: Lyft, Inc.

    IPC分类号: H04W4/02 H04W4/021

    摘要: Embodiments provide techniques, including systems and methods, for determining an estimated target pickup location for a corresponding transport request at a particular location, such as associated with a particular geohash. A requestor may send a request that is associated with a location that does not reflect the requestor's intent regarding where they would like to be met by the provider (i.e., “picked up”). GPS inaccuracies may cause the request location to inaccurately indicate where the requestor will be; for example, the request location may be inside a building while the requestor is waiting on a curb around a far side of the building. The target pickup location allows for a requestor and a provider to meet more efficiently, reducing delay for the provider and improving the efficiency of the system by preventing provider system resources from being taken from other service areas and decreasing provider downtime upon matching.

    Geohash-related location predictions

    公开(公告)号:US09769616B1

    公开(公告)日:2017-09-19

    申请号:US15479118

    申请日:2017-04-04

    申请人: Lyft, Inc.

    IPC分类号: H04W24/00 H04W4/02 H04W4/04

    CPC分类号: H04W4/023 H04W4/021 H04W4/046

    摘要: Embodiments provide techniques, including systems and methods, for determining an estimated target pickup location for a corresponding transport request at a particular location, such as associated with a particular geohash. A requestor may send a request that is associated with a location that does not reflect the requestor's intent regarding where they would like to be met by the provider (i.e., “picked up”). GPS inaccuracies may cause the request location to inaccurately indicate where the requestor will be; for example, the request location may be inside a building while the requestor is waiting on a curb around a far side of the building. The target pickup location allows for a requestor and a provider to meet more efficiently, reducing delay for the provider and improving the efficiency of the system by preventing provider system resources from being taken from other service areas and decreasing provider downtime upon matching.