公开(公告)号：US09767473B2

公开(公告)日：2017-09-19

申请号：US11673457

申请日：2007-02-09

申请人： Parijat Dube ,  Laura Wynter

发明人： Parijat Dube ,  Laura Wynter

IPC分类号： G06Q30/02 ,  H04M3/50

CPC分类号： G06Q30/0236 ,  G06Q30/02 ,  H04M3/50

摘要： A structure and method includes a detector to determine that a caller is waiting for service. A presentation module presents an advertisement to the waiting caller, wherein a compensation is paid to have the advertisement presented to the waiting caller.

公开(公告)号：US09715710B2

公开(公告)日：2017-07-25

申请号：US11693999

申请日：2007-03-30

申请人： Yasuo Amemiya ,  Jonathan R. M. Hosking ,  Wanli Min ,  Laura Wynter

发明人： Yasuo Amemiya ,  Jonathan R. M. Hosking ,  Wanli Min ,  Laura Wynter

IPC分类号： G06Q10/04 ,  G06Q30/02 ,  G06Q40/02 ,  G06Q40/00

CPC分类号： G06Q40/02 ,  G06Q40/00

摘要： A method (and system) for providing a forecast, the method including providing a multi-dimensional database storing data at a lowest level in a first dimension, calculating a first forecast at a level that is higher than the lowest level of a first dimension in the database, calculating a forecast for each category within the lowest level of the first dimension, aggregating a second forecast across all categories at the lowest level of the first dimension based upon an aggregation of the calculated forecasts for each category within the lowest level of the first dimension, determining a difference between the first forecast and the second forecast, and storing the difference in a dummy category at the lowest level of the first dimension.

公开(公告)号：US09111442B2

公开(公告)日：2015-08-18

申请号：US13428186

申请日：2012-03-23

申请人： Qing He ,  Klayut Jintanakul ,  Ioannis Kamarianakis ,  Laura Wynter

发明人： Qing He ,  Klayut Jintanakul ,  Ioannis Kamarianakis ,  Laura Wynter

IPC分类号： G08G1/01 ,  G08G1/07 ,  G08G1/09 ,  G08G1/097 ,  G06Q10/00

CPC分类号： G08G1/0104 ,  G06Q10/00 ,  G08G1/0116 ,  G08G1/0133

摘要： A method, an apparatus and an article of manufacture for incident duration prediction. The method includes obtaining incident data for at least one traffic-related incident in a selected geographic area, obtaining traffic data for the selected geographic area, spatially and temporally associating the at least one traffic-related incident with the traffic data to generate incident duration data for the at least one traffic-related incident, and predicting incident duration of at least one additional traffic-related incident based on the incident duration data for the at least one traffic-related incident.

摘要翻译： 一种用于事件持续时间预测的方法，装置和制品。 该方法包括获取所选择的地理区域中的至少一个与交通相关的事件的事件数据，获得所选择的地理区域的交通数据，空间和时间地将所述至少一个交通相关事件与所述交通数据相关联以产生入站持续时间数据 对于所述至少一个与交通有关的事件，以及基于所述至少一个与交通相关的事件的事件持续时间数据来预测至少一个额外的交通相关事件的事件持续时间。

公开(公告)号：US09053632B2

公开(公告)日：2015-06-09

申请号：US13537277

申请日：2012-06-29

申请人： Wei Shen ,  Laura Wynter

发明人： Wei Shen ,  Laura Wynter

IPC分类号： G06F19/00 ,  G06G7/70 ,  G08G1/01

CPC分类号： G08G1/0129

摘要： The present disclosure relates generally to real-time traffic prediction and/or estimation using GPS data with low sampling rates. In various examples, real-time traffic prediction and/or estimation using GPS data with low sampling rates may be implemented in the form of systems, methods and/or algorithms.

摘要翻译： 本公开一般涉及使用具有低采样率的GPS数据的实时业务预测和/或估计。 在各种示例中，使用具有低采样率的GPS数据的实时业务预测和/或估计可以以系统，方法和/或算法的形式来实现。

公开(公告)号：US08788310B2

公开(公告)日：2014-07-22

申请号：US10718210

申请日：2003-11-20

申请人： Parijat Dube ,  Zhen Liu ,  Laura Wynter

发明人： Parijat Dube ,  Zhen Liu ,  Laura Wynter

IPC分类号： G06Q10/00

CPC分类号： G06Q10/06 ,  G06Q30/0283

摘要： Yield management techniques are provided. In one aspect of the invention, a technique for managing one or more computing resources comprises the following steps/operations. Data associated with at least one potential demand for use of the one or more computing resources is obtained. Then, a management model (e.g., a yield management model or a revenue management model) is generated in accordance with at least a portion of the obtained data, wherein the management model is operative to determine an allocation of the one or more computing resources based on combinations of price levels and service levels that may be offered to one or more users of the one or more computing resources so as to attempt to satisfy at least one management goal.

摘要翻译： 提供产量管理技术。 在本发明的一个方面，一种用于管理一个或多个计算资源的技术包括以下步骤/操作。 获得与使用一个或多个计算资源的至少一个潜在需求相关联的数据。 然后，根据获得的数据的至少一部分生成管理模型（例如，收益管理模型或收入管理模型），其中管理模型可操作以确定基于一个或多个计算资源的分配 在可以向一个或多个计算资源的一个或多个用户提供的价格水平和服务水平的组合上，以便尝试满足至少一个管理目标。

公开(公告)号：US20130238390A1

公开(公告)日：2013-09-12

申请号：US13414082

申请日：2012-03-07

申请人： Rajaraman Hariharan ,  Ramakrishnan Kannan ,  Karthik Subbian ,  Laura Wynter

发明人： Rajaraman Hariharan ,  Ramakrishnan Kannan ,  Karthik Subbian ,  Laura Wynter

IPC分类号： G06Q30/02

CPC分类号： G06Q30/02 ,  G06Q50/01

摘要： A method of informing sales strategies using a social network includes receiving an input from an organization, wherein the input comprises information relating to an item for sale, extracting sales data from a first database, event history data from a second database, and action history data from a third database, wherein the sales data represents past sales of the item, the event history data represents past events, and the action history data represents past actions taken by the organization, establishing a connection with the social network via a communication network, monitoring a real-time data stream via the connection to the social network for mentions relating to the item, and generating an action recommendation relating to the item based on the sales data, event history data, action history data, and mentions relating to the item.

摘要翻译： 使用社交网络通知销售策略的方法包括从组织接收输入，其中所述输入包括与要出售的物品相关的信息，从第一数据库提取销售数据，来自第二数据库的事件历史数据和动作历史数据 从第三数据库，其中销售数据表示项目的过去销售，事件历史数据表示过去事件，并且动作历史数据表示组织采取的过去动作，经由通信网络建立与社交网络的连接，监视 通过与社交网络的连接提供与该项目有关的提示的实时数据流，以及基于与该项目相关的销售数据，事件历史数据，动作历史数据和提及来生成与该项目相关的动作推荐。

公开(公告)号：US08458113B2

公开(公告)日：2013-06-04

申请号：US13022369

申请日：2011-02-07

申请人： So Yeon Chun ,  Laura Wynter

发明人： So Yeon Chun ,  Laura Wynter

IPC分类号： G06N5/00

CPC分类号： G06N99/005

摘要： A decision support for real time command center, in one aspect, classifies, using a decision tree, an observed network state of a network into at least one category. A meta-model associated with the classified at least one category may be selected from a plurality of meta-models, the plurality of meta-models having been calibrated using results of simulations of a plurality of scenarios occurring in the network. One or more action plans may be evaluated by running the selected meta-model with data of the observed network state. One or more recommended action plans may be generated for the real time command center, based on the evaluation. Actual network state data resulting from having applied the one or more recommended action plans may be evaluated and used to recalibrate the meta-model and/or the decision tree.

摘要翻译： 对于实时指挥中心的决策支持，在一个方面，使用决策树将网络的观察网络状态分类为至少一个类别。 可以从多个元模型中选择与分类的至少一个类别相关联的元模型，所述多个元模型已经使用在网络中发生的多个场景的模拟的结果来校准。 可以通过使用观察到的网络状态的数据运行所选择的元模型来评估一个或多个动作计划。 基于评估，可以为实时指挥中心生成一个或多个推荐的行动计划。 可以评估由应用了一个或多个推荐的行动计划而产生的实际网络状态数据，并用于重新校准元模型和/或决策树。

公开(公告)号：US20120303816A1

公开(公告)日：2012-11-29

申请号：US13117455

申请日：2011-05-27

申请人： Ramakrishnan Kannan ,  Karthik Subbian ,  Laura Wynter

发明人： Ramakrishnan Kannan ,  Karthik Subbian ,  Laura Wynter

IPC分类号： G06F15/173

CPC分类号： G06F9/50

摘要： A method, system and computer program product for allocating network resources. In one embodiment, a service provider allocates an amount of the network resources to a group of clients, and the service provider receives a request from a client for a quantity of the network resources. The service provider negotiates with the group of clients and offers the group of clients an incentive to reduce the amount of the network resources allocated to this group of clients. The service provider reallocates some of the resources from the group of clients, based on this negotiating, to accommodate the request. In this embodiment, each of the group of clients provides a business value representing a value that would be lost due to reductions in the resources allocated to the each client, and the resources are reallocated based on this business values provided by the group of clients.

摘要翻译： 一种用于分配网络资源的方法，系统和计算机程序产品。 在一个实施例中，服务提供商将一定数量的网络资源分配给一组客户端，并且服务提供商从客户端接收针对一定数量的网络资源的请求。 服务提供商与客户群进行协商，为客户群提供减少分配给该客户群的网络资源数量的动机。 服务提供商根据该协商重新分配来自该组客户端的一些资源，以适应该请求。 在该实施例中，客户群中的每一个提供代表由于分配给每个客户端的资源的减少而将丢失的值的业务值，并且基于由该客户端组提供的业务值重新分配资源。

公开(公告)号：US20120010803A1

公开(公告)日：2012-01-12

申请号：US12831785

申请日：2010-07-07

申请人： Wanli Min ,  Laura Wynter

发明人： Wanli Min ,  Laura Wynter

IPC分类号： G08G1/123 ,  G06G7/70 ,  G01S19/42

CPC分类号： G08G1/123

摘要： A system, method and computer program product for estimating a vehicle arrival time. The system receives information representing prior travel times of vehicles between pre-determined vehicle stops along a vehicle route. The system receives real-time data representing a current journey. The current journey refers to a movement of a vehicle currently traveling along the route. The system calculates a regular trend representing the current journey based on the received prior travel times information and the received real-time data. The system computes a deviation from the regular trend in the current journey. The system determines a future traffic status in subsequent vehicle stops in the current journey. The system estimates, for the vehicle, each arrival time of each subsequent vehicle stop based on the calculated regular trend, the computed deviation and the determined future traffic status.

摘要翻译： 一种用于估计车辆到达时间的系统，方法和计算机程序产品。 系统接收表示沿车辆路线的预定车辆停靠点之间的车辆的先前行驶时间的信息。 系统接收表示当前行程的实时数据。 目前的旅程是指当前沿着路线行驶的车辆的运动。 系统根据接收的先前行程时间信息和接收到的实时数据，计算表示当前行程的规则趋势。 该系统计算出与当前旅程中常规趋势的偏差。 该系统确定当前旅程中后续车站的未来交通状况。 系统估计，对于车辆，基于所计算的常规趋势，计算的偏差和确定的未来交通状况，每个后续车辆停止的每个到达时间。

公开(公告)号：US20100063715A1

公开(公告)日：2010-03-11

申请号：US12619226

申请日：2009-11-16

申请人： Laura Wynter ,  Wanli Min ,  Benjamin G. Morris

发明人： Laura Wynter ,  Wanli Min ,  Benjamin G. Morris

IPC分类号： G08G1/00 ,  G01C21/36

CPC分类号： G01C21/3691 ,  G08G1/0104 ,  G08G1/096827 ,  G08G1/096844 ,  G08G1/096888

摘要： A method and apparatus for predicting traffic on a transportation network where real time data points are missing. In one embodiment, the missing data is estimated using a calibration model comprised of historical data that can be periodically updated, from select links constituting a relationship vector. The missing data can be estimated off-line whereafter it can be used to predict traffic for at least a part of the network, the traffic prediction being calculated by using a deviation from a historical traffic on the network. The invention further discloses a method for in-vehicle navigation; and a method for traffic prediction for a single lane.

摘要翻译： 一种用于预测实时数据点丢失的运输网络上的流量的方法和装置。 在一个实施例中，使用包括可以周期性更新的历史数据的校准模型，从构成关系向量的选择链路来估计丢失的数据。 丢失的数据可以离线估计，之后它可以用于预测网络的至少一部分的流量，通过使用与网络上的历史流量的偏差来计算流量预测。 本发明还公开了一种车载导航方法， 以及用于单个车道的交通预测的方法。