Patents by Inventor Carlos Gil Aguirrebeitia

Carlos Gil Aguirrebeitia has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11670163
    Abstract: 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.
    Type: Grant
    Filed: January 23, 2018
    Date of Patent: June 6, 2023
    Assignee: KAPSCH TRAFFICCOM AG
    Inventors: Carlos Gil Aguirrebeitia, Rubén García Casado
  • Patent number: 11250031
    Abstract: 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.
    Type: Grant
    Filed: January 23, 2018
    Date of Patent: February 15, 2022
    Assignee: Kapsch TrafficCom AG
    Inventors: Carlos Gil Aguirrebeitia, Rubén García Casado
  • Publication number: 20200012664
    Abstract: 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.
    Type: Application
    Filed: January 23, 2018
    Publication date: January 9, 2020
    Inventors: Carlos Gil Aguirrebeitia, Rubén García Casado
  • Publication number: 20190378406
    Abstract: 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.
    Type: Application
    Filed: January 23, 2018
    Publication date: December 12, 2019
    Inventors: Carlos Gil Aguirrebeitia, Rubén García Casado