Abstract: A system and a method for automatically tracking location of a vehicle by receiving a plurality of feature vectors transmitted from a plurality of stationary sensors installed along a road. The feature vectors are related to a plurality of vehicles which are in a range of detection of the plurality of the stationary sensors. The method may include clustering a group of feature vectors from the plurality of feature vectors to a monitored vehicle based on a predetermined driving model, determining parameters of the monitored vehicle, calculating a next expected location of the monitored vehicle, receiving a feature vector, matching the feature vector to the monitored vehicle and tracking a trajectory of the monitored vehicle.

Abstract: A system and a method for automatically configuring a road sensor unit. Embodiments of the invention include detecting, by the road sensor unit, an identification unit of a road socket unit upon insertion of the road sensor unit into the road socket unit, reading, by the road sensor unit, a unique designation of the identification unit of the road socket unit, transmitting, by the road sensor unit, the unique designation and a unique sensor identification of the road sensor unit to a remote server, receiving, by the road sensor unit from the remote server, unique parameters, wherein the unique parameters are based on the unique designation of the identification unit, configuring, by the road sensor unit, the road sensor unit to operate based on the unique parameter and operating said road sensor unit with the configuration.

Abstract: A system and a method for automatically identifying and classifying traffic and road events, by collecting metrics regarding one or more monitored vehicles from at least one of: a plurality of stationary traffic sensors installed on or proximate to a discrete segment of a road; traffic monitoring infrastructure; and, one or more connected vehicles. The system and a method are further to determine a position and a speed of each monitored vehicle per discrete segment in each lane of said road; and, identify, classify and localize one or more traffic and road events on said road. The identifying and classifying includes the steps of: training one or more machine learning algorithms to derive traffic and road events; and, associating, using said one or more machine learning algorithms, one or more observed traffic and road events with a known class of traffic and road events.

Abstract: A system and a method for automatically configuring a road sensor unit. Embodiments of the invention include detecting, by the road sensor unit, an identification unit of a road socket unit upon insertion of the road sensor unit into the road socket unit, reading, by the road sensor unit, a unique designation of the identification unit of the road socket unit, transmitting, by the road sensor unit, the unique designation and a unique sensor identification of the road sensor unit to a remote server, receiving, by the road sensor unit from the remote server, unique parameters, wherein the unique parameters are based on the unique designation of the identification unit, configuring, by the road sensor unit, the road sensor unit to operate based on the unique parameter and operating said road sensor unit with the configuration.