ASSIGNING RIDES BASED ON PROBABILITY OF PROVIDER ACCEPTANCE

    公开(公告)号:US20190206008A1

    公开(公告)日:2019-07-04

    申请号:US15859111

    申请日:2017-12-29

    Applicant: Lyft, Inc.

    CPC classification number: G06Q50/30 G06N7/005 G06Q10/063112

    Abstract: The present disclosure relates assigning ride requests to providers based on the probability that a provider will accept the request. For example, one or more embodiments identify a first provider to assign the ride request. The system then generates a probability of acceptance for that provider. The system then determines an estimated time-to-arrival for the first provider and an alternate estimated time-to-arrival associated with a re-assigned provider. Based on the acceptance probability, the estimated time-to-arrival, and the alternate estimated time-to-arrival, the system then determines an expected time-to-arrival associated with the first provider. The system assigns ride requests to providers based on optimizing the expected time-to-arrival across multiple potential providers for a ride request.

    GEOHASH-RELATED LOCATION PREDICTIONS
    32.
    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

    Applicant: Lyft, Inc.

    Abstract: 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

    Applicant: Lyft, Inc.

    CPC classification number: H04W4/023 H04W4/021 H04W4/046

    Abstract: 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.

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