Method of predicting a traffic behaviour in a road system

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, each traffic profile representing a traffic measure of vehicles in the road system recorded over time, one or more pre-defined tags associated with a time of recording of the respective traffic profile being attributed to said traffic profile:

• clustering the traffic profiles with their tags into at least one cluster as to similarity of traffic profiles;
• for at least one tag in each cluster, calculating a significance value by means of a statistical analysis, wherein the significance value of each tag or tag combination, respectively, is calculated by means of a Chi-squared statistic;
• if the significance value of a tag is higher than a threshold value, assigning this tag as a characteristic vector to this cluster;
• in a prediction engine, receiving a request having one or more request tags to determine a matching cluster;
• 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.