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%.
Available online: https://static.raspberrypi.org/files/product- briefs/Raspberry-Pi-Model- BplusProduct-Brief.pdf (accessed on 1 August 2022)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.HC 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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%.