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公开(公告)号:US20220084395A1
公开(公告)日:2022-03-17
申请号:US17456405
申请日:2021-11-24
Applicant: VERIZON CONNECT DEVELOPMENT LIMITED
Inventor: Samuele SALTI , Francesco SAMBO , Leonardo TACCARI , Luca BRAVI , Matteo SIMONCINI , Alessandro LORI
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.