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    • 1. 发明申请
    • TRAFFIC BOTTLENECK DETECTION AND CLASSIFICATION ON A TRANSPORTATION NETWORK GRAPH
    • 运输网络图上的交通瓶颈检测和分类
    • US20150081196A1
    • 2015-03-19
    • US14490145
    • 2014-09-18
    • ITERIS, INC
    • KARL F. PETTYANDREW J. MOYLAN
    • G08G1/01H04L29/08
    • G08G1/0133H04W4/027H04W4/029H04W4/046
    • Traffic congestion detection, classification and identification includes analysis of link-speed data representative of vehicular speed and capacity on one or more roadway segments to determine non-linear, multi-segment traffic bottlenecks in a transportation network graph. Link-speed data is processed to detect bottleneck conditions, classify bottlenecks and bottleneck-like traffic features according to their complexity, and identify sustained or recurring bottlenecks. Such a system and method of traffic congestion detection, classification and identification provides a framework for using this link-speed data to detect the head and queue of bottlenecks on a directed graph representing the transportation network, classify the resulting bottlenecks and bottleneck-like traffic features according to the shape of their queue, and identify and measure sustained or recurrent bottlenecks even when the location, or head, of the bottleneck varies slightly across multiple time periods or across multiple days.
    • 交通拥堵检测,分类和识别包括分析代表一个或多个道路段上的车辆速度和容量的链路速度数据,以确定交通网络图中的非线性,多段交通瓶颈。 处理链路速度数据以检测瓶颈条件,根据其复杂性对瓶颈和瓶颈状流量特征进行分类,并确定持续或反复出现的瓶颈。 这种交通拥堵检测,分类和识别的系统和方法提供了使用这种链路速度数据来检测表示运输网络的有向图上的瓶颈的头部和队列的框架,对所产生的瓶颈和瓶颈状的交通特征进行分类 根据队列的形状,识别和测量持续或复发的瓶颈,即使瓶颈的位置或头部在多个时间段或多天内略有不同。
    • 3. 发明申请
    • DATA QUALITY ASSESSMENT AND REAL-TIME EVALUATION OF GPS PROBE DATA
    • 数据质量评估和GPS探测数据的实时评估
    • US20150006069A1
    • 2015-01-01
    • US14321759
    • 2014-07-01
    • ITERIS, INC.
    • JAIMYOUNG KWONKARL F. PETTYALEX A. KURZHANSKIYANDREW J. MOYLAN
    • G08G1/052
    • G08G1/052G08G1/0112G08G1/0133G08G1/0141
    • Quality assessment of probe data collected from GPS systems is performed by a system and method of determining a value of data points provided by different vendors of such data. Incoming raw probe data is initially analyzed for removal of extraneous data points, and is then mapped to roadway links and smoothed out. The resulting output is processed to determine the coverage value of data provided by a given vendor and enable a comparison between different vendors. Such a model of probe data processing also enables an evaluation of a contribution of further vendors of raw probe data to an existing dataset. Additionally, a real-time performance evaluation of continually-ingested probe data includes building historical and data count profiles, and generating output data represented by a number of data points for a specific distance within a geo-box representing a geographical area, to project a value of raw probe data for a next incremental time period.
    • 从GPS系统收集的探测数据的质量评估是通过确定这些数据的不同供应商提供的数据点的值的系统和方法进行的。 最初分析接收的原始探测数据,以清除无关的数据点,然后将其映射到道路链路并进行平滑处理。 处理所得到的输出以确定给定供应商提供的数据的覆盖率,并且可以在不同的供应商之间进行比较。 探测数据处理的这种模型还能够使原始探测数据的其他供应商对现有数据集的贡献进行评估。 此外,持续摄取的探测数据的实时性能评估包括建立历史和数据计数概况,以及生成由表示地理区域的地理位置内的特定距离的多个数据点表示的输出数据,以投影 下一个增量时间段的原始探测数据的值。