DETECTING ANOMALOUS ROAD TRAFFIC CONDITIONS
    1.
    发明申请
    DETECTING ANOMALOUS ROAD TRAFFIC CONDITIONS 有权
    检测异常道路交通条件

    公开(公告)号:US20130289862A1

    公开(公告)日:2013-10-31

    申请号:US13923273

    申请日:2013-06-20

    Applicant: Inrix, Inc.

    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 and/or from one or more other sources (such as physical sensors near to or embedded in the roads). The road traffic conditions assessment 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 of interest from the data samples. In some situations, the inferences include repeatedly determining current traffic flow characteristics and/or predicted future traffic flow characteristics for road segments of interest during time periods of interest, such as to determine average traffic speed, traffic volume and/or occupancy, and include weighting various data samples in various ways (e.g., based on a latency of the data samples and/or a source of the data samples).

    Abstract translation: 描述了用于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进的其他移动数据源和/或来自一个或多个其他来源(例如靠近 或嵌入道路)。 基于获得的数据样本的道路交通状况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关注的交通相关特征的各种推断和概率确定。 在某些情况下,推断包括在感兴趣的时段期间重复地确定目标交通流量特征和/或感兴趣的路段的预测未来交通流量特性,例如确定平均交通速度,交通量和/或占用,并且包括加权 各种数据样本以各种方式(例如,基于数据样本的延迟和/或数据样本的来源)。

    FILTERING ROAD TRAFFIC DATA FROM MULTIPLE DATA SOURCES
    2.
    发明申请
    FILTERING ROAD TRAFFIC DATA FROM MULTIPLE DATA SOURCES 有权
    从多个数据源过滤道路交通数据

    公开(公告)号:US20150094941A1

    公开(公告)日:2015-04-02

    申请号:US14510937

    申请日:2014-10-09

    Applicant: Inrix, Inc.

    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 and/or from one or more other sources (such as physical sensors near to or embedded in the roads). The road traffic conditions assessment 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 of interest from the data samples. In some situations, the inferences include repeatedly determining current traffic flow characteristics and/or predicted future traffic flow characteristics for road segments of interest during time periods of interest, such as to determine average traffic speed, traffic volume and/or occupancy, and include weighting various data samples in various ways (e.g., based on a latency of the data samples and/or a source of the data samples).

    Abstract translation: 描述了用于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进的其他移动数据源和/或来自一个或多个其他来源(例如靠近 或嵌入道路)。 基于获得的数据样本的道路交通状况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关注的交通相关特征的各种推断和概率确定。 在某些情况下,推断包括在感兴趣的时段期间重复地确定目标交通流量特征和/或感兴趣的路段的预测未来交通流量特性,例如确定平均交通速度,交通量和/或占用,并且包括加权 各种数据样本以各种方式(例如,基于数据样本的延迟和/或数据样本的来源)。

    Detecting Unrepresentative Road Traffic Condition Data
    3.
    发明申请
    Detecting Unrepresentative Road Traffic Condition Data 有权
    检测无代表性道路交通状况数据

    公开(公告)号:US20140149030A1

    公开(公告)日:2014-05-29

    申请号:US14170127

    申请日:2014-01-31

    Applicant: Inrix, Inc.

    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 and/or from one or more other sources (such as physical sensors near to or embedded in the roads). The road traffic conditions assessment 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 of interest from the data samples. In some situations, the inferences include repeatedly determining current traffic flow characteristics and/or predicted future traffic flow characteristics for road segments of interest during time periods of interest, such as to determine average traffic speed, traffic volume and/or occupancy, and include weighting various data samples in various ways (e.g., based on a latency of the data samples and/or a source of the data samples).

    Abstract translation: 描述了用于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进的其他移动数据源和/或来自一个或多个其他来源(例如靠近 或嵌入道路)。 基于获得的数据样本的道路交通状况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关注的交通相关特征的各种推断和概率确定。 在某些情况下,推断包括在感兴趣的时段期间重复地确定目标交通流量特征和/或感兴趣的路段的预测未来交通流量特性,例如确定平均交通速度,交通量和/或占用,并且包括加权 各种数据样本以各种方式(例如,基于数据样本的延迟和/或数据样本的来源)。

    Detecting anomalous road traffic conditions
    4.
    发明授权
    Detecting anomalous road traffic conditions 有权
    检测异常道路交通状况

    公开(公告)号:US08682571B2

    公开(公告)日:2014-03-25

    申请号:US13923273

    申请日:2013-06-20

    Applicant: Inrix, Inc.

    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 and/or from one or more other sources (such as physical sensors near to or embedded in the roads). The road traffic conditions assessment 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 of interest from the data samples. In some situations, the inferences include repeatedly determining current traffic flow characteristics and/or predicted future traffic flow characteristics for road segments of interest during time periods of interest, such as to determine average traffic speed, traffic volume and/or occupancy, and include weighting various data samples in various ways (e.g., based on a latency of the data samples and/or a source of the data samples).

    Abstract translation: 描述了用于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进的其他移动数据源和/或来自一个或多个其他来源(例如靠近 或嵌入道路)。 基于获得的数据样本的道路交通状况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关注的交通相关特征的各种推断和概率确定。 在某些情况下,推断包括在感兴趣的时段期间重复地确定目标交通流量特征和/或感兴趣的路段的预测未来交通流量特性,例如确定平均交通速度,交通量和/或占用,并且包括加权 各种数据样本以各种方式(例如,基于数据样本的延迟和/或数据样本的来源)。

    Filtering road traffic data from multiple data sources
    5.
    发明授权
    Filtering road traffic data from multiple data sources 有权
    从多个数据源过滤道路交通数据

    公开(公告)号:US09280894B2

    公开(公告)日:2016-03-08

    申请号:US14510937

    申请日:2014-10-09

    Applicant: Inrix, Inc.

    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 and/or from one or more other sources (such as physical sensors near to or embedded in the roads). The road traffic conditions assessment 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 of interest from the data samples. In some situations, the inferences include repeatedly determining current traffic flow characteristics and/or predicted future traffic flow characteristics for road segments of interest during time periods of interest, such as to determine average traffic speed, traffic volume and/or occupancy, and include weighting various data samples in various ways (e.g., based on a latency of the data samples and/or a source of the data samples).

    Abstract translation: 描述了用于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进的其他移动数据源和/或来自一个或多个其他来源(例如靠近 或嵌入道路)。 基于获得的数据样本的道路交通状况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关注的交通相关特征的各种推断和概率确定。 在某些情况下,推断包括在感兴趣的时段期间重复地确定目标交通流量特征和/或感兴趣的路段的预测未来交通流量特性,例如确定平均交通速度,交通量和/或占用,并且包括加权 各种数据样本以各种方式(例如,基于数据样本的延迟和/或数据样本的来源)。

    Assessing road traffic speed using data from multiple data sources
    6.
    发明授权
    Assessing road traffic speed using data from multiple data sources 有权
    使用来自多个数据源的数据评估道路交通速度

    公开(公告)号:US08909463B2

    公开(公告)日:2014-12-09

    申请号:US14170179

    申请日:2014-01-31

    Applicant: Inrix, Inc.

    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 and/or from one or more other sources (such as physical sensors near to or embedded in the roads). The road traffic conditions assessment 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 of interest from the data samples. In some situations, the inferences include repeatedly determining current traffic flow characteristics and/or predicted future traffic flow characteristics for road segments of interest during time periods of interest, such as to determine average traffic speed, traffic volume and/or occupancy, and include weighting various data samples in various ways (e.g., based on a latency of the data samples and/or a source of the data samples).

    Abstract translation: 描述了用于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进的其他移动数据源和/或来自一个或多个其他来源(例如靠近 或嵌入道路)。 基于获得的数据样本的道路交通状况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关注的交通相关特征的各种推断和概率确定。 在某些情况下,推断包括在感兴趣的时段期间重复地确定目标交通流量特征和/或感兴趣的路段的预测未来交通流量特性,例如确定平均交通速度,交通量和/或占用,并且包括加权 各种数据样本以各种方式(例如,基于数据样本的延迟和/或数据样本的来源)。

    Detecting unrepresentative road traffic condition data
    7.
    发明授权
    Detecting unrepresentative road traffic condition data 有权
    检测无代表性的道路交通状况数据

    公开(公告)号:US08880324B2

    公开(公告)日:2014-11-04

    申请号:US14170127

    申请日:2014-01-31

    Applicant: Inrix, Inc.

    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 and/or from one or more other sources (such as physical sensors near to or embedded in the roads). The road traffic conditions assessment 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 of interest from the data samples. In some situations, the inferences include repeatedly determining current traffic flow characteristics and/or predicted future traffic flow characteristics for road segments of interest during time periods of interest, such as to determine average traffic speed, traffic volume and/or occupancy, and include weighting various data samples in various ways (e.g., based on a latency of the data samples and/or a source of the data samples).

    Abstract translation: 描述了用于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进的其他移动数据源和/或来自一个或多个其他来源(例如靠近 或嵌入道路)。 基于获得的数据样本的道路交通状况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关注的交通相关特征的各种推断和概率确定。 在某些情况下,推断包括在感兴趣的时段期间重复地确定目标交通流量特征和/或感兴趣的路段的预测未来交通流量特性,例如确定平均交通速度,交通量和/或占用,并且包括加权 各种数据样本以各种方式(例如,基于数据样本的延迟和/或数据样本的来源)。

    ASSESSING ROAD TRAFFIC SPEED USING DATA FROM MULTIPLE DATA SOURCES
    8.
    发明申请
    ASSESSING ROAD TRAFFIC SPEED USING DATA FROM MULTIPLE DATA SOURCES 有权
    使用多个数据源的数据评估道路交通速度

    公开(公告)号:US20140149028A1

    公开(公告)日:2014-05-29

    申请号:US14170179

    申请日:2014-01-31

    Applicant: Inrix, Inc.

    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 and/or from one or more other sources (such as physical sensors near to or embedded in the roads). The road traffic conditions assessment 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 of interest from the data samples. In some situations, the inferences include repeatedly determining current traffic flow characteristics and/or predicted future traffic flow characteristics for road segments of interest during time periods of interest, such as to determine average traffic speed, traffic volume and/or occupancy, and include weighting various data samples in various ways (e.g., based on a latency of the data samples and/or a source of the data samples).

    Abstract translation: 描述了用于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进的其他移动数据源和/或来自一个或多个其他来源(例如靠近 或嵌入道路)。 基于获得的数据样本的道路交通状况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关注的交通相关特征的各种推断和概率确定。 在某些情况下,推断包括在感兴趣的时段期间重复地确定目标交通流量特征和/或感兴趣的路段的预测未来交通流量特性,例如确定平均交通速度,交通量和/或占用,并且包括加权 各种数据样本以各种方式(例如,基于数据样本的延迟和/或数据样本的来源)。

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