US 12,008,896 B2
System and method for detection and quantification of irregular traffic congestion
Idan Hahn, Haifa (IL); and Alex Smolyak, Kiryat Ono (IL)
Assigned to WAYCARE TECHNOLOGIES LTD., Tel Aviv (IL)
Filed by WAYCARE TECHNOLOGIES LTD., Tel Aviv (IL)
Filed on Aug. 18, 2021, as Appl. No. 17/405,042.
Application 17/405,042 is a continuation of application No. 16/247,608, filed on Jan. 15, 2019, granted, now 11,100,793.
Prior Publication US 2021/0375128 A1, Dec. 2, 2021
Int. Cl. G08G 1/01 (2006.01); G06F 17/18 (2006.01); G06N 3/08 (2023.01); G06N 5/046 (2023.01); G06N 20/00 (2019.01)
CPC G08G 1/0145 (2013.01) [G06F 17/18 (2013.01); G06N 3/08 (2013.01); G06N 5/046 (2013.01); G06N 20/00 (2019.01); G08G 1/0129 (2013.01); G08G 1/0133 (2013.01)] 21 Claims
OG exemplary drawing
 
1. A method of detecting and handling traffic congestion outliers by at least one processor, the method comprising:
receiving, from a plurality of information sources, data corresponding to at least one temporal, local traffic property;
producing 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;
receiving, from at least one information source, new data corresponding to the at least one temporal, local traffic property;
generating 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 identifying the data as originating from a local, temporal traffic congestion outlier;
clustering a plurality of segments identified as having a traffic congestion outlier to a plurality of clusters;
assigning a cluster score to each cluster, according to at least one severity rate of member congested segments;
producing a traffic report, comprising a geographic representation of the plurality of clustered segments and the clusters' respective cluster score; and
transmitting 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.