Abstract: A method and system for classifying a vehicle based on low frequency GPS tracks. The method and system comprise retrieving a low frequency GPS track having a sampling interval of at least 20 seconds; deriving additional data from the low frequency GPS track, the additional data including interval speed and instantaneous acceleration of the vehicle; extracting a plurality of data sets from the low frequency GPS track and the additional data; generating a plurality of features from the extracted data sets; and providing the plurality of generated features to a classifier that classifies the vehicle into a predetermined class.
Type:
Application
Filed:
December 2, 2016
Publication date:
September 19, 2019
Applicant:
FLLEETMATICS IRELAND LIMITED
Inventors:
Samuele SALTI, Francesco SAMBO, Leonardo TACCARI, Luca BRAVI, Matteo SIMONCINI, Alessandro LORI