Traffic Data Simulator
    1.
    发明申请
    Traffic Data Simulator 有权
    交通数据模拟器

    公开(公告)号:US20150127243A1

    公开(公告)日:2015-05-07

    申请号:US14069664

    申请日:2013-11-01

    CPC classification number: G08G1/0116 G08G1/012 G08G1/0129 G08G1/0141

    Abstract: In one embodiment, traffic data that originates from sensors, cameras, or observations is analyzed. The traffic data is associated with multiple repeating time epochs or intervals. The traffic data is divided into clusters using a clustering technique. The clustering technique may include clusters of variable sizes. Each of the clusters is analyzed to calculate statistical parameters including but not limited to an average value for one or more clusters and a standard deviation value for one or more clusters. In response to a request for traffic data, simulated traffic data may be generated by providing the average value and the standard deviation value for one or more of the clusters.

    Abstract translation: 在一个实施例中,分析了来自传感器,照相机或观测的交通数据。 交通数据与多个重复时间纪元或间隔相关联。 使用聚类技术将流量数据分成簇。 聚类技术可以包括可变大小的簇。 分析每个簇以计算统计参数,包括但不限于一个或多个簇的平均值和一个或多个簇的标准偏差值。 响应于对业务数据的请求,可以通过为一个或多个集群提供平均值和标准偏差值来生成模拟业务数据。

    Traffic data simulator
    2.
    发明授权
    Traffic data simulator 有权
    交通数据模拟器

    公开(公告)号:US09495868B2

    公开(公告)日:2016-11-15

    申请号:US14069664

    申请日:2013-11-01

    CPC classification number: G08G1/0116 G08G1/012 G08G1/0129 G08G1/0141

    Abstract: In one embodiment, traffic data that originates from sensors, cameras, or observations is analyzed. The traffic data is associated with multiple repeating time epochs or intervals. The traffic data is divided into clusters using a clustering technique. The clustering technique may include clusters of variable sizes. Each of the clusters is analyzed to calculate statistical parameters including but not limited to an average value for one or more clusters and a standard deviation value for one or more clusters. In response to a request for traffic data, simulated traffic data may be generated by providing the average value and the standard deviation value for one or more of the clusters.

    Abstract translation: 在一个实施例中,分析了来自传感器,照相机或观测的交通数据。 交通数据与多个重复时间纪元或间隔相关联。 使用聚类技术将流量数据分成簇。 聚类技术可以包括可变大小的簇。 分析每个簇以计算统计参数,包括但不限于一个或多个簇的平均值和一个或多个簇的标准偏差值。 响应于对业务数据的请求,可以通过为一个或多个集群提供平均值和标准偏差值来生成模拟业务数据。

    Traffic Data Simulator
    3.
    发明申请
    Traffic Data Simulator 有权
    交通数据模拟器

    公开(公告)号:US20150127245A1

    公开(公告)日:2015-05-07

    申请号:US14174307

    申请日:2014-02-06

    Abstract: In one embodiment, traffic data that originates from sensors, cameras, or observations is analyzed. The traffic data is associated with multiple repeating time epochs or intervals. The traffic data is divided into clusters using a clustering technique. The traffic data may be collected on specific days such as holidays. The holiday traffic data may be divided data into clusters and a dominant traffic pattern cluster that represents a holiday classification is identified. The dominant traffic pattern cluster is stored in a traffic prediction model.

    Abstract translation: 在一个实施例中,分析了来自传感器,照相机或观测的交通数据。 交通数据与多个重复时间纪元或间隔相关联。 使用聚类技术将流量数据分成簇。 交通数据可能会在特定日期(如假日)收集。 假定交通数据可以将数据划分成群集,并且识别代表度假分类的主要交通模式群集。 主要流量模式集群存储在流量预测模型中。

    Predictive incident aggregation
    4.
    发明授权

    公开(公告)号:US10672264B2

    公开(公告)日:2020-06-02

    申请号:US15437113

    申请日:2017-02-20

    Abstract: In one embodiment, an incident report including a path segment identifier and an incident identifier is received at a computing device. The incident identifier is sent to a traffic prediction model. The traffic prediction model returns a traffic distribution value. The traffic distribution value identifies a portion of a traffic prediction distribution derived from historical data. The computing device accesses a lookup table according to traffic distribution value and the path segment identifier to receive a speed prediction.

    Traffic data simulator
    5.
    发明授权
    Traffic data simulator 有权
    交通数据模拟器

    公开(公告)号:US09368027B2

    公开(公告)日:2016-06-14

    申请号:US14174307

    申请日:2014-02-06

    Abstract: In one embodiment, traffic data that originates from sensors, cameras, or observations is analyzed. The traffic data is associated with multiple repeating time epochs or intervals. The traffic data is divided into clusters using a clustering technique. The traffic data may be collected on specific days such as holidays. The holiday traffic data may be divided data into clusters and a dominant traffic pattern cluster that represents a holiday classification is identified. The dominant traffic pattern cluster is stored in a traffic prediction model.

    Abstract translation: 在一个实施例中,分析了来自传感器,照相机或观测的交通数据。 交通数据与多个重复时间纪元或间隔相关联。 使用聚类技术将流量数据分成簇。 交通数据可能会在特定日期(如假日)收集。 假定交通数据可以将数据划分成群集,并且识别代表度假分类的主要交通模式群集。 主要流量模式集群存储在流量预测模型中。

    Predictive Incident Aggregation
    6.
    发明申请

    公开(公告)号:US20170162041A1

    公开(公告)日:2017-06-08

    申请号:US15437113

    申请日:2017-02-20

    CPC classification number: G08G1/0129 G08G1/0112 G08G1/0141

    Abstract: In one embodiment, an incident report including a path segment identifier and an incident identifier is received at a computing device. The incident identifier is sent to a traffic prediction model. The traffic prediction model returns a traffic distribution value. The traffic distribution value identifies a portion of a traffic prediction distribution derived from historical data. The computing device accesses a lookup table according to traffic distribution value and the path segment identifier to receive a speed prediction.

    Predictive incident aggregation
    7.
    发明授权

    公开(公告)号:US09613529B2

    公开(公告)日:2017-04-04

    申请号:US14171049

    申请日:2014-02-03

    CPC classification number: G08G1/0129 G08G1/0112 G08G1/0141

    Abstract: In one embodiment, an incident report including a path segment identifier and an incident identifier is received at a computing device. The incident identifier is sent to a traffic prediction model. The traffic prediction model returns a traffic distribution value. The traffic distribution value identifies a portion of a traffic prediction distribution derived from historical data. The computing device accesses a lookup table according to traffic distribution value and the path segment identifier to receive a speed prediction.

    Predictive Incident Aggregation
    8.
    发明申请
    Predictive Incident Aggregation 有权
    预测性事件聚合

    公开(公告)号:US20150221218A1

    公开(公告)日:2015-08-06

    申请号:US14171049

    申请日:2014-02-03

    CPC classification number: G08G1/0129 G08G1/0112 G08G1/0141

    Abstract: In one embodiment, an incident report including a path segment identifier and an incident identifier is received at a computing device. The incident identifier is sent to a traffic prediction model. The traffic prediction model returns a traffic distribution value. The traffic distribution value identifies a portion of a traffic prediction distribution derived from historical data. The computing device accesses a lookup table according to traffic distribution value and the path segment identifier to receive a speed prediction.

    Abstract translation: 在一个实施例中,在计算设备处接收包括路径段标识符和事件标识符的事件报告。 事件标识符被发送到流量预测模型。 流量预测模型返回流量分布值。 流量分布值识别从历史数据导出的流量预测分布的一部分。 计算设备根据流量分布值和路径段标识符访问查找表以接收速度预测。

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