Convolutional Neural Network Classification of Telematics Car Driving Data
18 Pages Posted: 1 Nov 2018
Date Written: October 18, 2018
The aim of this project is to analyse high-frequency GPS location data (second per second) of individual car drivers (and trips). We extract feature information about speeds, acceleration, braking 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.
Keywords: telematics car driving data, driving styles, pattern recognition, image recognition, convolutional neural networks
JEL Classification: G22, C02, C45
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