A sensor-based device with ANN classifies three driving styles at 83% accuracy on interurban roads, reaching 92% for two styles, with geo-information and time data improving results by 13%.
Sensing Vehicle Dynamics for Determining Driver Phone Use
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Low-Cost System for Automatic Recognition of Driving Pattern in Assessing Interurban Mobility using Geo-Information
A sensor-based device with ANN classifies three driving styles at 83% accuracy on interurban roads, reaching 92% for two styles, with geo-information and time data improving results by 13%.