公开(公告)号：US11670163B2

公开(公告)日：2023-06-06

申请号：US16476837

申请日：2018-01-23

申请人： Kapsch TrafficCom AG

发明人： Carlos Gil Aguirrebeitia ,  Rubén García Casado

IPC分类号： G08G1/01

CPC分类号： G08G1/0129 ,  G08G1/0116 ,  G08G1/0133

摘要： The present subject matter relates to a method of predicting a traffic behaviour in a road system, comprising the following steps carried out by at least one processor connected to a database, which contains a set of traffic profiles: clustering the traffic profiles; calculating a significance value; if the significance value of a tag is higher than a threshold value, assigning this tag as a characteristic vector to this cluster; receiving a request having one or more request tags; determining a cluster by means of matching the request tag/s to the characteristic vectors of the clusters; and outputting a predicted traffic behaviour based on the determined cluster.

公开(公告)号：US11250031B2

公开(公告)日：2022-02-15

申请号：US16476839

申请日：2018-01-23

申请人： Kapsch TrafficCom AG

发明人： Carlos Gil Aguirrebeitia ,  Rubén García Casado

IPC分类号： G06F7/00 ,  G06F16/28 ,  G08G1/01

摘要： The present subject matter relates to a method of predicting a traffic behaviour in a road system, comprising the following steps carried out by at least one processor connected to a database, which contains a set of traffic profiles: clustering the traffic profiles; for each cluster, determining a dissimilarity measure; receiving a request having one or more request tags; checking whether all request tags match one of the characteristic vectors of the clusters, and if so, outputting a predicted traffic behaviour, else, eliminating one of the request tags from the request and returning to the beginning of said step of checking.

公开(公告)号：US20200012664A1

公开(公告)日：2020-01-09

申请号：US16476839

申请日：2018-01-23

申请人： Kapsch TrafficCom AG

发明人： Carlos Gil Aguirrebeitia ,  Rubén García Casado

IPC分类号： G06F16/28 ,  G08G1/01

摘要： The present subject matter relates to a method of predicting a traffic behaviour in a road system, comprising the following steps carried out by at least one processor connected to a database, which contains a set of traffic profiles: clustering the traffic profiles; for each cluster, determining a dissimilarity measure; receiving a request having one or more request tags; checking whether all request tags match one of the characteristic vectors of the clusters, and if so, outputting a predicted traffic behaviour, else, eliminating one of the request tags from the request and returning to the beginning of said step of checking.