- Journal Article
Rights / licenseCreative Commons Attribution 4.0 International
The aim of this project is to analyze high-frequency GPS location data (second per second) of individual car drivers (and trips). We extract feature information about speeds, acceleration, deceleration, and changes of direction from this high-frequency GPS location data. Time series of this feature information allow us to appropriately allocate individual car driving trips to selected drivers using convolutional neural networks Show more
Journal / seriesRisks
Pages / Article No.
Subjecttelematics car driving data; Driving styles; pattern recognition; Image recognition; convolutional neural networks
Organisational unit08813 - Wüthrich, Mario Valentin (Tit.-Prof.)
MoreShow all metadata