System and method for detection and quantification of irregular traffic congestion

The method of 6, wherein producing one or more severity rates comprises:

• predicting the value of the temporal, local traffic property according to at least one GMM;
• comparing the value of the traffic property of the new data with the predicted value of the traffic property;
• and
• producing a first severity rate of the temporal, local traffic property based on the comparison.

A system for detecting traffic congestion outliers, the system comprising a non-transitory memory device comprising instruction code stored thereon, and a processor associated with the memory device, and configured to execute the instruction code, where upon execution of said instruction code the processor is configured to:

• receive, from a plurality of information sources, data corresponding to at least one temporal, local traffic property;
• produce a local, time-based traffic profile based on the received data, wherein the local, time-based traffic profile reflects historic states of the at least one temporal, local traffic property;
• receive, from at least one information source, new data corresponding to the at least one temporal, local traffic property;
• generate a score for the new data by:
• comparing the new data to the local, time-based traffic profile so as to generate one or more severity rates, each severity rate corresponding to exactly one of the at least one temporal, local traffic property,
• assigning a weight to each severity rate, and
• accumulating the one or more severity rates according to the respective weights, to produce an overall accumulated weighted score as the score;
• if the score surpasses a threshold, then identify the data as originating from a local, temporal traffic congestion outlier;
• cluster a plurality of segments identified as having a traffic congestion outlier to a plurality of clusters;
• assign a cluster score to each cluster, according to at least one severity rate of member congested segments;
• produce a traffic report, comprising a geographic representation of the plurality of clustered segments and the clusters' respective cluster score;
• and
• transmit a recommendation to a user device, based on the traffic report, wherein the recommendation includes at least one of:
• a geographic location of a cluster of the plurality of clusters, a time-based origin of the cluster, and a cluster score of the cluster.