Navigation driving metric
    11.
    发明授权

    公开(公告)号:US10514696B2

    公开(公告)日:2019-12-24

    申请号:US15656499

    申请日:2017-07-21

    Abstract: A method is disclosed comprising: obtaining data associated with each road segment of at least one road segment, said data comprising: a representative of at least one link associated with the respective road segment; obtaining probe data associated with the respective road segment, the probe data comprising: at least one piece of position information; determining a sinuous driving metric, which is a value being indicative of a sinuosity of driving on the respective road segment based at least partially on the probe data and its allocation with respect to the respective road segment. It is further disclosed an according apparatus, computer program and system.

    Method, apparatus, and computer program product for determining vehicle lanes of a road segment based on received probe data

    公开(公告)号:US10445610B2

    公开(公告)日:2019-10-15

    申请号:US15654066

    申请日:2017-07-19

    Abstract: A method is provided to determine a number of vehicle travel lanes along a road segment. A method may include: receiving probe data from a plurality of probes, where the probe data includes probe data points having location and heading; matching the probe data to a road segment to generate map-matched probe data; analyzing the probe data relative to the road segment to establish a multi-modal distribution of probe data representing a distance of the probe data from a predefined reference position of the road segment; determining a number of vehicle travel lanes of the road segment based on peaks in the established multi-modal distribution being associated with individual lanes; and providing the determined number of vehicle travel lanes and the associated road segment to a map services database for lane-level route guidance.

    SPLIT LANE TRAFFIC JAM DETECTION AND REMEDIATION

    公开(公告)号:US20190287393A1

    公开(公告)日:2019-09-19

    申请号:US16410350

    申请日:2019-05-13

    Abstract: A plurality of instances of pre-intersection and post-intersection probe data are received. Each instance of pre-intersection probe data corresponds to traveling along a pre-intersection road segment before traveling through an intersection. Each instance of post-intersection probe data corresponds to traveling along a post-intersection road segment following traveling through the intersection. Instances of pre-intersection probe data are clustered into pre-intersection clusters based on a post-intersection road segment identified by the corresponding instance of post-intersection probe data. Instances of post-intersection probe data are clustered into post-intersection clusters based on the post-intersection road segment identified thereby. A traffic level indicator is determined for each cluster. A traffic level indicator difference is determined for each pair of corresponding pre-intersection and post-intersection clusters. Responsive to determining that at least one traffic level indicator difference is greater than a threshold traffic level indicator difference, the intersection is identified as experiencing a traffic jam.

    Lane level traffic information and navigation

    公开(公告)号:US10417906B2

    公开(公告)日:2019-09-17

    申请号:US15389500

    申请日:2016-12-23

    Abstract: A plurality of instances of probe data are received. Each instance is matched to a link of a digital map. A distance parameter for each instance is determined based on the link. Based on a vehicle lane pattern for the link, a most likely lane for each instance is determined based on the corresponding distance parameter. Probe trajectories are constructed based on sequences of instances of probe data identified in the plurality of instances of probe data. At least one of the probe trajectories is analyzed based at least in part on lane change probabilities to generate at least one lane level trajectory. Lane level traffic information is determined based on the at least one lane level trajectory and the corresponding instances of probe data.

    Method and apparatus for evaluating traffic approaching a junction at a lane level

    公开(公告)号:US10198941B2

    公开(公告)日:2019-02-05

    申请号:US15221147

    申请日:2016-07-27

    Inventor: James Fowe

    Abstract: A method, apparatus and computer program product are provided to analyze the vehicular speeds along a link that approaches a junction at the lane level. In the context of a method, a plurality of clusters of vehicular speeds are identified from probe data along a first multi-lane link that approaches a junction. For a respective lane of traffic of the first link, the method determines a value associated with the traffic having a respective state of traffic flow from among the different states of traffic flow associated with the clusters of vehicular speeds along the respective lane of traffic of the first link. The method further includes repeatedly determining the value associated with the traffic having a respective state of traffic flow from among the different states of traffic flow associated with the clusters of vehicular speeds for each different lane of traffic of the first link.

    Automatic detection of lane closures using probe data

    公开(公告)号:US10140856B2

    公开(公告)日:2018-11-27

    申请号:US15370311

    申请日:2016-12-06

    Abstract: A plurality of instances of probe data are received. Each instance is received from a probe apparatus of a plurality of probe apparatuses each comprising a plurality of sensors and being onboard a vehicle. An instance comprises location information indicating a location of the corresponding probe apparatus. For each of one or more instances, a distance parameter is determined based on the location information and a road segment corresponding to the location. A set of distance parameters is defined based on the distance parameter determined for each of the one or more instances. The set of distance parameters is analyzed to identify clusters of probe data. The number of clusters identified is determined and compared to a historical number of clusters. If the number of clusters identified is less than the historical number of clusters, it is determined that there is a lane closure corresponding to the road segment.

    LANE LEVEL TRAFFIC INFORMATION AND NAVIGATION

    公开(公告)号:US20180182238A1

    公开(公告)日:2018-06-28

    申请号:US15389500

    申请日:2016-12-23

    Abstract: A plurality of instances of probe data are received. Each instance is matched to a link of a digital map. A distance parameter for each instance is determined based on the link. Based on a vehicle lane pattern for the link, a most likely lane for each instance is determined based on the corresponding distance parameter. Probe trajectories are constructed based on sequences of instances of probe data identified in the plurality of instances of probe data. At least one of the probe trajectories is analyzed based at least in part on lane change probabilities to generate at least one lane level trajectory. Lane level traffic information is determined based on the at least one lane level trajectory and the corresponding instances of probe data.

    Traffic Classification Based on Spatial Neighbor Model
    18.
    发明申请
    Traffic Classification Based on Spatial Neighbor Model 有权
    基于空间邻域模型的流量分类

    公开(公告)号:US20160155325A1

    公开(公告)日:2016-06-02

    申请号:US14556683

    申请日:2014-12-01

    Inventor: James Fowe

    Abstract: Systems, methods, and apparatuses are described for estimating traffic conditions on road segments when no real time traffic data is available. A computing device may access a road topology comprising links from a geographic database. One of the links is selected from road topology. The computing device identifies a subset of the road topology having neighboring links that have an influentual conditional probability on the selected link. In one example, the subset of the neighboring links includes parent links for the selected link, child links for the selected link, and parents of child links of the selected link. The computing device generates a traffic estimation model for the selected link using the subset of road topology and historical traffic data for the neighboring links.

    Abstract translation: 描述了当没有实时交通数据可用时估计道路段上的交通状况的系统,方法和装置。 计算设备可以访问包括来自地理数据库的链路的道路拓扑。 从道路拓扑中选择一个链接。 计算设备识别具有在所选链路上具有进入条件概率的相邻链路的道路拓扑的子集。 在一个示例中,相邻链接的子集包括用于所选链接的父链接,所选链接的子链接以及所选链接的子链接的父节点。 计算设备使用道路拓扑的子集和相邻链路的历史流量数据为所选择的链路生成流量估计模型。

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