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1.发明申请公开(公告)号：US20170004706A1
公开(公告)日：2017-01-05
申请号：US15269203
申请日：2016-09-19
Applicant: INRIX INC.,
Inventor： Craig H. Chapman , Oliver B. Downs , Alec Barker , Mitchel A. Burns, JR. , Scott R. Love
CPC classification number: G08G1/0129 , G08G1/0104 , G08G1/0133 , G08G1/052 , G08G1/056 , G08G1/065 , H04W88/02
Abstract: Techniques are described for assessing road traffic conditions in various ways based on obtained traffic-related data, such as data samples from vehicles and other mobile data sources traveling on the roads, as well as in some situations data from one or more other sources (such as physical sensors near to or embedded in the roads). The assessment of road traffic conditions based on obtained data samples may include various filtering and/or conditioning of the data samples, and various inferences and probabilistic determinations of traffic-related characteristics from the data samples. In some situations, the filtering of the data samples includes identifying data samples that are inaccurate or otherwise unrepresentative of actual traffic condition characteristics, such as data samples that are not of interest based at least in part on roads with which the data samples are associated and/or that otherwise reflect vehicle locations or activities that are not of interest.
Abstract translation: 描述了基于获得的交通相关数据（例如来自车辆的数据样本和在道路上行驶的其他移动数据源）以及在某些情况下来自一个或多个其他来源（例如， 作为靠近或嵌入道路的物理传感器）。 基于获得的数据样本对道路交通状况的评估可以包括数据样本的各种过滤和/或调节，以及来自数据样本的业务相关特征的各种推断和概率确定。 在某些情况下，数据样本的过滤包括识别不准确或以其他方式代表实际交通状况特征的数据样本，例如至少部分地基于与数据样本相关联的道路不感兴趣的数据样本，以及 /或以其他方式反映车辆位置或不感兴趣的活动。
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公开(公告)号：US10403130B2
公开(公告)日：2019-09-03
申请号：US15269203
申请日：2016-09-19
Applicant: INRIX INC.
Inventor： Craig H. Chapman , Oliver B. Downs , Alec Barker , Mitchel A. Burns, Jr. , Scott R. Love
Abstract: Techniques are described for assessing road traffic conditions in various ways based on obtained traffic-related data, such as data samples from vehicles and other mobile data sources traveling on the roads, as well as in some situations data from one or more other sources (such as physical sensors near to or embedded in the roads). The assessment of road traffic conditions based on obtained data samples may include various filtering and/or conditioning of the data samples, and various inferences and probabilistic determinations of traffic-related characteristics from the data samples. In some situations, the filtering of the data samples includes identifying data samples that are inaccurate or otherwise unrepresentative of actual traffic condition characteristics, such as data samples that are not of interest based at least in part on roads with which the data samples are associated and/or that otherwise reflect vehicle locations or activities that are not of interest.
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