- 专利标题: Geohash-related location predictions
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申请号: US16369998申请日: 2019-03-29
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公开(公告)号: US10547975B2公开(公告)日: 2020-01-28
- 发明人: Yuanyuan Pao , Snir Kodesh , Jatin Chopra , Kevin Fan , Charlie Lin , Limin Shen , Dor Levi , Asif Haque , Zeynep Erkin Baz
- 申请人: Lyft, Inc.
- 申请人地址: US CA San Francisco
- 专利权人: Lyft, Inc.
- 当前专利权人: Lyft, Inc.
- 当前专利权人地址: US CA San Francisco
- 代理机构: Keller Jolley Preece
- 主分类号: H04W24/00
- IPC分类号: H04W24/00 ; H04W4/02 ; H04W4/44 ; H04W4/029 ; H04W4/021 ; H04W4/024
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.
公开/授权文献
- US20190306657A1 GEOHASH-RELATED LOCATION PREDICTIONS 公开/授权日:2019-10-03
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