Auto-Constraint Generation for the Optimization of Planned Pickups and Deliveries

    公开(公告)号:US20240104491A1

    公开(公告)日:2024-03-28

    申请号:US18010696

    申请日:2022-03-22

    Applicant: Google LLC

    CPC classification number: G06Q10/08355

    Abstract: The present disclosure provides computer-implemented methods, systems, and devices for generating optimized delivery routes. A computing device receives a list of tasks to be performed. The computing device receives delivery constraint data describing constraints associated with one or more tasks in the list of tasks. The computing device accesses location constraint data describing constraints associated with one or more locations of one or more tasks in the list of tasks. The computing device generates an optimized delivery route based on the delivery constraint data and the location constraint data. The computing device transmits the optimized delivery route to a user computing device.

    VEHICLE, PICKUP AND DROPOFF LOCATION IDENTIFICATION FOR RIDESHARING AND DELIVERY VIA AUGMENTED REALITY

    公开(公告)号:US20210407150A1

    公开(公告)日:2021-12-30

    申请号:US16609034

    申请日:2019-03-15

    Applicant: GOOGLE LLC

    Abstract: To present a pickup location in a transportation service, a server device receives a request for ridesharing services from a rider's current location to a drop-off location. The server device broadcasts the request to drivers and receives an indication of acceptance of the request from one of the drivers. Then the server device provides a pickup location to the rider and the driver which is presented in a map display of the rider and driver's client devices. When the rider or driver's current location is within a threshold distance of the pickup location, the corresponding client device switches to an augmented reality mode and presents a camera view from a camera of the client device depicting real-world imagery. The server device provides information to the corresponding client device to present in the augmented reality mode overlaying the real-world imagery to assist the rider or driver in finding the pickup location.

    PROVIDING A RESILIENT APPLICATION PROGRAMMING INTERFACE FOR GEOGRAPHIC SERVICES

    公开(公告)号:US20220318279A1

    公开(公告)日:2022-10-06

    申请号:US17256621

    申请日:2019-12-20

    Applicant: GOOGLE LLC

    Abstract: A method for providing availability of geographic data to enterprise clients. The method is implemented by processing hardware and includes generating a storage storing geographic information available to an enterprise client via an API call, where the enterprise client configured to (i) receive service requests from user devices and (ii) invoke the API to provide, in response to the service requests, information related to geography. When the enterprise client invokes the API to submit a query (304), the method includes: in a first instance, transmitting the query to a geographic service via a communication network (306) and generating a network-based response to the query using geographic information received from the geographic service in response to the query (312), and in a second instance, generating a storage-based response to the query using the geographic information stored in the storage (322).

    Providing a resilient application programming interface for geographic services

    公开(公告)号:US12174860B2

    公开(公告)日:2024-12-24

    申请号:US17256621

    申请日:2019-12-20

    Applicant: GOOGLE LLC

    Abstract: A method for providing availability of geographic data to enterprise clients. The method is implemented by processing hardware and includes generating a storage storing geographic information available to an enterprise client via an API call, where the enterprise client configured to (i) receive service requests from user devices and (ii) invoke the API to provide, in response to the service requests, information related to geography. When the enterprise client invokes the API to submit a query (304), the method includes: in a first instance, transmitting the query to a geographic service via a communication network (306) and generating a network-based response to the query using geographic information received from the geographic service in response to the query (312), and in a second instance, generating a storage-based response to the query using the geographic information stored in the storage (322).

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