公开(公告)号：US07546128B2

公开(公告)日：2009-06-09

申请号：US11003886

申请日：2004-12-03

Applicant: Cyrus W. Smith ,  Clayton Wilkinson, IV ,  Kirk Carlson ,  Michael P. Wright ,  Rahul Sangal

Inventor： Cyrus W. Smith ,  Clayton Wilkinson, IV ,  Kirk Carlson ,  Michael P. Wright ,  Rahul Sangal

IPC: H04W24/00 ,  H04W36/00 ,  G08C19/16 ,  G08G1/00

CPC classification number: G08G1/0104

Abstract: Characterizing traffic conditions by analyzing operational data taken from a wireless communication network to generate traffic information. Location estimates can be made based on processing the operational data. This location can be combined with computerized street maps to measure the time it takes to get from one geographic area to another. By aggregating and analyzing anonymous data from thousands of devices, the present invention is able to determine real-time and historical travel times and velocities between cities, intersections and along specific routes.

Abstract translation: 通过分析从无线通信网络获取的运行数据来生成交通信息来描述交通状况。 位置估算可以基于处理操作数据进行。 这个位置可以与电脑化的街道地图相结合，以衡量从一个地理区域到另一个地理区域所需的时间。 通过聚合和分析来自数千个设备的匿名数据，本发明能够确定城市，交叉路口之间以及特定路线的实时和历史旅行时间和速度。

公开(公告)号：US06591255B1

公开(公告)日：2003-07-08

申请号：US09543697

申请日：2000-04-05

Applicant: John T. Tatum ,  W. Clayton Wilkinson, IV ,  Robert J. Jannarone

Inventor： John T. Tatum ,  W. Clayton Wilkinson, IV ,  Robert J. Jannarone

IPC: G06F1518

CPC classification number: G06N3/08

Abstract: A “Rapid Learner Client Service” (RLCS) system that allows a large number of end-users to obtain the benefits of a sophisticated neural-network forecasting system. Rather than purchasing or developing a forecasting system of their own, RLCS clients subscribe to a forecasting service performed by forecasting equipment located at a remote site. This allows a single highly sophisticated forecasting system to meet the forecasting needs of a large number of subscribers. This forecasting service is performed by an RLCS server that periodically and automatically accesses the subscriber's computer to obtain a fresh set of input data. Alternatively, the subscriber's computer may contact the RLCS server to initiate the process. This input data is then downloaded to the RLCS server, where it is checked and corrected for errors by imputing values for missing or deviant input values. The error-corrected input data is then used to compute a forecast of output values, which are downloaded to the client's computer. The RLCS server also computes and downloads a set accuracy statistics for the client's review.

Abstract translation: “快速学习者客户服务”（RLCS）系统，允许大量终端用户获得复杂的神经网络预测系统的好处。 RLCS客户不是购买或开发自己的预测系统，而是订阅通过位于远程站点的预测设备执行的预测服务。 这允许一个高度复杂的预测系统来满足大量用户的预测需求。 该预测服务由RLCS服务器执行，该服务器周期性地并且自动地访问订户的计算机以获得一组新的输入数据。 或者，订户的计算机可以联系RLCS服务器以启动该过程。 然后将该输入数据下载到RLCS服务器，通过对丢失或偏差输入值的值进行估计，对其进行检查和纠正。 然后，纠错后的输入数据用于计算输出值的预测，并将其下载到客户端计算机。 RLCS服务器还计算并下载用于客户端审核的设置精度统计信息。

公开(公告)号：US20050079878A1

公开(公告)日：2005-04-14

申请号：US11003886

申请日：2004-12-03

Applicant: Cyrus Smith ,  Clayton Wilkinson ,  Kirk Carlson ,  Michael Wright ,  Rahul Sangal

Inventor： Cyrus Smith ,  Clayton Wilkinson ,  Kirk Carlson ,  Michael Wright ,  Rahul Sangal

IPC: G08G1/01 ,  H04Q7/20

CPC classification number: G08G1/0104

Abstract: Characterizing traffic conditions by analyzing operational data taken from a wireless communication network to generate traffic information. Location estimates can be made based on processing the operational data. This location can be combined with computerized street maps to measure the time it takes to get from one geographic area to another. By aggregating and analyzing anonymous data from thousands of devices, the present invention is able to determine real-time and historical travel times and velocities between cities, intersections and along specific routes.

Abstract translation: 通过分析从无线通信网络获取的运行数据来生成交通信息来描述交通状况。 位置估算可以基于处理操作数据进行。 这个位置可以与电脑化的街道地图相结合，以衡量从一个地理区域到另一个地理区域所需的时间。 通过聚合和分析来自数千个设备的匿名数据，本发明能够确定城市，交叉路口之间以及特定路线的实时和历史旅行时间和速度。

公开(公告)号：US06876988B2

公开(公告)日：2005-04-05

申请号：US09811163

申请日：2001-03-16

Applicant: David Helsper ,  Clayton Wilkinson ,  Robert Zack ,  John T. Tatum ,  Robert J. Jannarone ,  Bernd Harzog

Inventor： David Helsper ,  Clayton Wilkinson ,  Robert Zack ,  John T. Tatum ,  Robert J. Jannarone ,  Bernd Harzog

IPC: G06F11/34 ,  H04L12/24 ,  G06E1/00

CPC classification number: H04L41/0681 ,  G06F11/3447 ,  H04L41/0213 ,  H04L41/026 ,  H04L41/147 ,  H04L41/22 ,  H04L41/5003

Abstract: A method and system for computing a performance forecast for an e-business system or other computer architecture to proactively manage the system to prevent system failure or slow response time. The system is adapted to obtain measured input values from a plurality of internal data sources and external data sources to predict a system's performance especially under unpredictable and dramatically changing traffic levels in an effort to proactively manage the system to avert system malfunction or slowdown. The performance forecasting system can include both intrinsic and extrinsic variables as predictive inputs. Intrinsic variables include measurements of the systems own performance, such as component activity levels and system response time. Extrinsic variables include other factors, such as the time and date, whether an advertising campaign is underway, and other demographic factors that may effect or coincide with increased network traffic.

Abstract translation: 一种用于计算电子商务系统或其他计算机体系结构的性能预测的方法和系统，以主动管理系统以防止系统故障或响应时间慢。 该系统适于从多个内部数据源和外部数据源获得测量的输入值，以预测系统的性能，特别是在不可预测和显着改变的流量水平下，主动管理系统以避免系统故障或减速。 绩效预测系统可以包括内在和外在变量作为预测投入。 内在变量包括系统自身性能的测量，例如组件活动级别和系统响应时间。 外部变量包括其他因素，如时间和日期，广告活动是否正在进行中，以及可能与增加的网络流量有关或可能相互影响的其他人口因素。

公开(公告)号：US06842620B2

公开(公告)日：2005-01-11

申请号：US10243589

申请日：2002-09-13

Applicant: Cyrus W. Smith ,  Clayton Wilkinson, IV ,  Kirk Carlson ,  Michael P. Wright ,  Rahul Sangal

Inventor： Cyrus W. Smith ,  Clayton Wilkinson, IV ,  Kirk Carlson ,  Michael P. Wright ,  Rahul Sangal

IPC: G08G1/01 ,  H04Q7/20 ,  G06F19/00 ,  H04Q9/00

CPC classification number: G08G1/0104

Abstract: Providing traffic information by using operational data developed by a wireless communication network to generate traffic information. Location information from the network can be combined with computerized street maps to measure the time it takes to get from one geographic area to another. By aggregating and analyzing anonymous data from thousands of devices, the present invention is able to determine real-time and historical travel times and velocities between cities, intersections and along specific routes.

Abstract translation: 通过使用由无线通信网络开发的操作数据来提供交通信息以产生交通信息。 来自网络的位置信息可以与计算机化的街道地图组合，以测量从一个地理区域到另一个地理区域所需的时间。 通过聚合和分析来自数千个设备的匿名数据，本发明能够确定城市，交叉路口之间以及特定路线的实时和历史旅行时间和速度。