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    Warning for Frequently Traveled Trips Based on Traffic
    21.
    发明申请
    Warning for Frequently Traveled Trips Based on Traffic 有权
    基于交通频繁旅行的警示

    公开(公告)号：US20140278070A1

    公开(公告)日：2014-09-18

    申请号：US14081899

    申请日：2013-11-15

    Applicant: Apple Inc.

    Inventor： Christine B. McGavran ,  Bradford A. Moore ,  Gregory D. Bolsinga ,  Christopher Blumenberg ,  Seejo K. Pylappan ,  Marcel van Os

    IPC: G01C21/34

    CPC classification number: G01C21/00 ,  G01C21/3484 ,  G01C21/3492 ,  G01C21/3617 ,  G01C21/362 ,  G06N5/04 ,  G06N99/005

    Abstract: Some embodiments of the invention provide a novel prediction engine that (1) can formulate predictions about current or future destinations and/or routes to such destinations for a user, and (2) can relay information to the user about these predictions. In some embodiments, this engine includes a machine-learning engine that facilitates the formulation of predicted future destinations and/or future routes to destinations based on stored, user-specific data. The user-specific data is different in different embodiments. In some embodiments, the stored, user-specific data includes data about any combination of the following: (1) previous destinations traveled to by the user, (2) previous routes taken by the user, (3) locations of calendared events in the user's calendar, (4) locations of events for which the user has electronic tickets, and (5) addresses parsed from recent e-mails and/or messages sent to the user. In some embodiments, the prediction engine only relies on user-specific data stored on the device on which this engine executes. Alternatively, in other embodiments, it relies only on user-specific data stored outside of the device by external devices/servers. In still other embodiments, the prediction engine relies on user-specific data stored both by the device and by other devices/servers.

    Abstract translation: 本发明的一些实施例提供了一种新颖的预测引擎，其（1）可以为用户制定关于当前或将来的目的地和/或路由到这些目的地的预测，以及（2）可以向用户传递关于这些预测的信息。 在一些实施例中，该引擎包括机器学习引擎，其基于存储的用户特定数据有助于预测的未来目的地和/或到目的地的未来路线的制定。 用户特定的数据在不同的实施例中是不同的。 在一些实施例中，所存储的用户特定数据包括关于以下任何组合的数据：（1）用户旅行的先前目的地，（2）用户采取的先前路由，（3）日历中的日历事件的位置 用户日历，（4）用户具有电子票的事件的位置，以及（5）从发送给用户的最近的电子邮件和/或消息中解析的地址。 在一些实施例中，预测引擎仅依赖于存储在该引擎执行的设备上的用户特定数据。 或者，在其他实施例中，它仅依赖于外部设备/服务器在设备外部存储的用户特定数据。 在其他实施例中，预测引擎依赖于由设备和其他设备/服务器存储的用户特定数据。

    ROUTING APPLICATIONS FOR NAVIGATION
    22.
    发明申请
    ROUTING APPLICATIONS FOR NAVIGATION 有权

    公开(公告)号：US20130325340A1

    公开(公告)日：2013-12-05

    申请号：US13632080

    申请日：2012-09-30

    Applicant: APPLE INC.

    Inventor： Scott Forstall ,  Marcel van Os ,  Bradford A. Moore ,  Brady A. Law

    IPC: G01C21/00

    CPC classification number: G01C21/3667 ,  G01C21/00 ,  G01C21/362 ,  G06F3/0482 ,  G06F3/04842

    Abstract: Some embodiments provide a mapping application that provides routing information to third-party applications on a device. The mapping application receives route data that includes first and second locations. Based on the route data, the mapping application provides a set of routing applications that provide navigation information. The mapping application receives a selection of a routing application in the set of routing applications. The mapping application passes the route data to the selected routing application in order for the routing application to provide navigation information.

    SMART LOADING OF MAP TILES
    23.
    发明申请
    SMART LOADING OF MAP TILES 有权
    智能加载地图平台

    公开(公告)号：US20130325317A1

    公开(公告)日：2013-12-05

    申请号：US13705997

    申请日：2012-12-05

    Applicant: APPLE INC.

    Inventor： Seejo K. Pylappan ,  James A. Howard ,  Bradford A. Moore ,  Christopher Blumenberg

    IPC: G01C21/26

    CPC classification number: G01C21/26 ,  G01C21/32 ,  G01C21/3667 ,  G06F17/30241 ,  G09B29/003 ,  G09B29/005

    Abstract: Systems and methods are provided for displaying a portion of a map on a mobile device of a user while the user is traveling along a route. The mobile device can use a selected route and a current location of the device to load map tiles for parts of the map that are upcoming along the route. In this manner, the user can have quick access to the portions of the map that the user likely will want to view. For example, the map tiles can be loaded for the next 50 Km, and then when the stored tiles reaches only 25 Km ahead, another 25 Km of tiles can be retrieved. The amount of tiles loaded (e.g., minimum and maximum amounts) can vary based on a variety of factors, such as network state, distance traveled along the route, and whether the mobile device is charging.

    Abstract translation: 提供了系统和方法，用于在用户沿着路线行进时在用户的移动设备上显示地图的一部分。 移动设备可以使用所选择的路线和设备的当前位置来加载地图块，用于沿路线即将到来的地图的部分。 以这种方式，用户可以快速访问用户可能想要查看的地图部分。 例如，地图瓦片可以加载下一个50公里，然后当存储的瓦片仅在前面25公里时，另外可以检索25公里的瓦片。 加载的瓦片的量（例如，最小和最大量）可以基于各种因素而变化，诸如网络状态，沿着路线行进的距离，以及移动设备是否正在充电。

    Warning for Frequently Traveled Trips Based on Traffic
    26.
    发明申请
    Warning for Frequently Traveled Trips Based on Traffic 有权

    公开(公告)号：US20230034863A1

    公开(公告)日：2023-02-02

    申请号：US17964732

    申请日：2022-10-12

    Applicant: Apple Inc.

    Inventor： Bradford A. Moore ,  Christine B. McGavran ,  Gregory D. Bolsinga ,  Christopher Blumenberg ,  Seejo K. Pylappan ,  Marcel Van Os

    IPC: G01C21/00 ,  G01C21/34 ,  G06N20/00 ,  G01C21/36 ,  G06N5/04

    Abstract: Some embodiments of the invention provide a novel prediction engine that (1) can formulate predictions about current or future destinations and/or routes to such destinations for a user, and (2) can relay information to the user about these predictions. In some embodiments, this engine includes a machine-learning engine that facilitates the formulation of predicted future destinations and/or future routes to destinations based on stored, user-specific data. The user-specific data is different in different embodiments. In some embodiments, the stored, user-specific data includes data about any combination of the following: (1) previous destinations traveled to by the user, (2) previous routes taken by the user, (3) locations of calendared events in the user’s calendar, (4) locations of events for which the user has electronic tickets, and (5) addresses parsed from recent e-mails and/or messages sent to the user. In some embodiments, the prediction engine only relies on user-specific data stored on the device on which this engine executes. Alternatively, in other embodiments, it relies only on user-specific data stored outside of the device by external devices/servers. In still other embodiments, the prediction engine relies on user-specific data stored both by the device and by other devices/servers.

    Warning for frequently traveled trips based on traffic
    27.
    发明授权
    Warning for frequently traveled trips based on traffic 有权

    公开(公告)号：US11506497B2

    公开(公告)日：2022-11-22

    申请号：US16511729

    申请日：2019-07-15

    Applicant: Apple Inc.

    Inventor： Bradford A. Moore ,  Christine B. McGavran ,  Gregory D. Bolsinga ,  Christopher Blumenberg ,  Seejo K. Pylappan ,  Marcel Van Os

    IPC: G01C21/00 ,  G06N5/04 ,  G06N20/00 ,  G01C21/34 ,  G01C21/36

    Abstract: Some embodiments of the invention provide a novel prediction engine that (1) can formulate predictions about current or future destinations and/or routes to such destinations for a user, and (2) can relay information to the user about these predictions. In some embodiments, this engine includes a machine-learning engine that facilitates the formulation of predicted future destinations and/or future routes to destinations based on stored, user-specific data. The user-specific data is different in different embodiments. In some embodiments, the stored, user-specific data includes data about any combination of the following: (1) previous destinations traveled to by the user, (2) previous routes taken by the user, (3) locations of calendared events in the user's calendar, (4) locations of events for which the user has electronic tickets, and (5) addresses parsed from recent e-mails and/or messages sent to the user. In some embodiments, the prediction engine only relies on user-specific data stored on the device on which this engine executes. Alternatively, in other embodiments, it relies only on user-specific data stored outside of the device by external devices/servers. In still other embodiments, the prediction engine relies on user-specific data stored both by the device and by other devices/servers.

    Warning for Frequently Traveled Trips Based on Traffic
    30.
    发明申请
    Warning for Frequently Traveled Trips Based on Traffic 审中-公开

    公开(公告)号：US20190339079A1

    公开(公告)日：2019-11-07

    申请号：US16511729

    申请日：2019-07-15

    Applicant: Apple Inc.

    Inventor： Bradford A. Moore ,  Christine B. McGavran ,  Gregory D. Bolsinga ,  Christopher Blumenberg ,  Seejo K. Pylappan ,  Marcel Van Os

    IPC: G01C21/00 ,  G06N20/00 ,  G01C21/36 ,  G06N5/04 ,  G01C21/34

    Abstract: Some embodiments of the invention provide a novel prediction engine that (1) can formulate predictions about current or future destinations and/or routes to such destinations for a user, and (2) can relay information to the user about these predictions. In some embodiments, this engine includes a machine-learning engine that facilitates the formulation of predicted future destinations and/or future routes to destinations based on stored, user-specific data. The user-specific data is different in different embodiments. In some embodiments, the stored, user-specific data includes data about any combination of the following: (1) previous destinations traveled to by the user, (2) previous routes taken by the user, (3) locations of calendared events in the user's calendar, (4) locations of events for which the user has electronic tickets, and (5) addresses parsed from recent e-mails and/or messages sent to the user. In some embodiments, the prediction engine only relies on user-specific data stored on the device on which this engine executes. Alternatively, in other embodiments, it relies only on user-specific data stored outside of the device by external devices/servers. In still other embodiments, the prediction engine relies on user-specific data stored both by the device and by other devices/servers.

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