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- W2039784501 abstract "Profiling driving behavior has become a relevant aspect in fleet management, automotive insurance and eco-driving. Detecting inefficient or aggressive drivers can help reducing fleet degradation, insurance policy cost and fuel consumption. In this paper, we present a Fuzzy-Logic based driver scoring mechanism that uses smartphone sensing data, including accelerometers and GPS. In order to evaluate the proposed mechanism, we have collected traces from a testbed consisting in 20 vehicles equipped with an Android sensing application we have developed to this end. The results show that the proposed sensing variables using smartphones can be merged to provide each driver with a single score." @default.
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- W2039784501 date "2013-10-01" @default.
- W2039784501 modified "2023-09-30" @default.
- W2039784501 title "An evaluation study of driver profiling fuzzy algorithms using smartphones" @default.
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- W2039784501 doi "https://doi.org/10.1109/icnp.2013.6733681" @default.
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