Kapsch Trafficcom Ag

Rubén García Casado

Carlos Gil Aguirrebeitia

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.

Method of predicting a traffic behaviour in a road system

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.

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Bilbao, Spain

Rubén García Casado