US 12,230,139 B2
Predicting traffic violation hotspots using map features and sensors data
Amarnath Nayak, Mumbai (IN); and Jerome Beaurepaire, Berlin (DE)
Assigned to HERE GLOBAL B.V., Eindhoven (NL)
Filed by HERE Global B.V., Eindhoven (NL)
Filed on Nov. 18, 2021, as Appl. No. 17/529,989.
Prior Publication US 2023/0154332 A1, May 18, 2023
Int. Cl. G08G 1/01 (2006.01); G06N 20/00 (2019.01); G08G 1/0967 (2006.01); G08G 1/0968 (2006.01); G08G 1/16 (2006.01)
CPC G08G 1/166 (2013.01) [G06N 20/00 (2019.01); G08G 1/0112 (2013.01); G08G 1/0129 (2013.01); G08G 1/0133 (2013.01); G08G 1/096716 (2013.01); G08G 1/096888 (2013.01)] 19 Claims
OG exemplary drawing
 
1. A method for predicting traffic violation hotspots, the method comprising:
acquiring historical traffic violation data for a plurality of locations in a first region;
training a model to identify traffic violation hotspots using the historical traffic violation data;
acquiring real-time data while traversing a location in a second region for which historical traffic violation data is limited;
generating, by the trained model using the real-time data, a probability score that represents how probable the location in the second region is to be a traffic violation hotspot; and
generating an update to a map displayed in a vehicle for the location based on the probability score, wherein the update to the displayed map includes one or more routing instructions for a different route associated with the second region.