Convolutional Neural Network Classification of Telematics Car Driving Data

Convolutional Neural Network Classification of Telematics Car Driving Data

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...

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Bibliographic Details
Main Authors: Guangyuan Gao, Mario V. Wüthrich
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:Risks
Subjects:
telematics car driving data
driving styles
pattern recognition
image recognition
convolutional neural networks
Online Access:http://www.mdpi.com/2227-9091/7/1/6

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