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    • 72. 发明授权
    • Route optimization
    • 路由优化
    • US08566035B2
    • 2013-10-22
    • US12712917
    • 2010-02-25
    • Gregory J. BossMichele P. BrignullRick A. Hamilton, IIPamela A. NesbittAnne R. Sand
    • Gregory J. BossMichele P. BrignullRick A. Hamilton, IIPamela A. NesbittAnne R. Sand
    • G01C21/36
    • G01C21/3492G08G1/096811G08G1/096838G08G1/096866
    • In general, the present invention relates to route optimization/prediction. In one embodiment, the present invention provides visibility to future predicted traffic situations, based on all reserved routes in a system at a given point in time. This allows city planners, for example, to know where traffic will be to adjust traffic flow accordingly. Additional value comes into play by being able to calculate and publish aggregated savings from using this system, such as driver time, mileage, and gas. This information may be added to a database and made available to individuals via their GPS. In a typical implementation, a request for a route is received from a requester. Based on the request, an optimized route and a potential position of the requester within the optimized route are determined and then proposed to the requester. The requester can then select an option from the proposal.
    • 通常,本发明涉及路线优化/预测。 在一个实施例中,本发明基于给定时间点上的系统中的所有保留路由提供对未来预测的交通情况的可见性。 这样就可以让城市规划人员知道交通流量相应地调整流量。 通过能够计算和发布使用此系统的汇总节省,例如驾驶时间,里程和天气,可以发挥额外的价值。 该信息可以添加到数据库中,并通过其GPS向个人提供。 在典型的实现中,从请求者接收到对路由的请求。 根据请求,确定优化路由中的优化路由和请求者的潜在位置,然后提出给请求者。 然后,请求者可以从提案中选择一个选项。
    • 76. 发明授权
    • Automated digital media content filtration based on relationship monitoring
    • 基于关系监测的自动数字媒体内容过滤
    • US08307066B2
    • 2012-11-06
    • US12134859
    • 2008-06-06
    • Bernadette A. CarterBelinda Y. ChangFuyi LiPamela A. NesbittAnne I. RyanLisa A. Seacat
    • Bernadette A. CarterBelinda Y. ChangFuyi LiPamela A. NesbittAnne I. RyanLisa A. Seacat
    • G06F15/16G06F15/173G06F15/177
    • G06Q30/02
    • An apparatus, system, and method are disclosed for automated digital media content filtration based on relationship monitoring. The method determines a plurality of user relationships based at least in part on an online association between a user and a content producer. The method monitors each user relationship with each content producer for a relationship interaction between the user and the content producer. Furthermore, the method also identifies digital media content published by a content producer having a relationship with the user. A determined relevancy may be based on a strength factor derived at least in part on monitored relationship interactions between the user and the content producer that published the digital media content. The digital media content is presented to the user, with that having a greater relevancy weight having a higher priority than other digital media content available to the user from other content producers.
    • 公开了一种基于关系监测的自动数字媒体内容过滤的装置,系统和方法。 该方法至少部分地基于用户和内容制作者之间的在线关联确定多个用户关系。 该方法监视与每个内容制作者的每个用户关系,以用于用户和内容制作者之间的关系交互。 此外,该方法还识别由与用户有关系的内容制作者发布的数字媒体内容。 确定的相关性可以基于至少部分地导致用户和发布数字媒体内容的内容制作者之间的监视的关系交互的强度因子。 将数字媒体内容呈现给用户,具有更高的相关权重,其优先级高于来自其他内容制作者的用户可用的其他数字媒体内容。