Abstract
Traffic accidents and vehicle mishandling are significant problems in road transportation, affecting human lives. Various studies suggest that driver behavior is a key factor in the most road accidents and contributes significantly to fuel consumption and emissions. Improvements in driver behavior can be achieved by providing feedback to drivers on their driving behavior. The identification of risky and wasteful maneuvers allows the evaluation of driver behavior. This allows the elimination of irresponsible drivers who pose a danger in traffic, and at the same time, it allows the reduction of maintenance and repair costs of the vehicle fleet. This paper presents the first stage of a driver profiling method based on the analysis of signals coming from the vehicle CAN bus and auxiliary device containing a GPS receiver and an IMU unit. No additional equipment is needed, what is an advantage of the proposed method.
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Acknowledgments
This research was done in cooperation with the Lincor Software Sp. z o.o. sp. k., and was supported by the Polish National Center for Research and Development under the grant no. POIR.01.01.01-00-0057/21 (Opracowanie i weryfikacja w warunkach rzeczywistych narzdzia opartego o algorytmy uczenia nadzorowanego umoliwiajacego ocen jazdy kierowcy i podwyszanie jej bezpieczestwa) for Lincor Software, Warszawa, Poland. Project co-financed by EU Smart Growth Operational Programme in the years 2014–2020.
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Porwik, P., Orczyk, T., Doroz, R. (2022). A Stable Method for Detecting Driver Maneuvers Using a Rule Classifier. In: Nguyen, N.T., Tran, T.K., Tukayev, U., Hong, TP., Trawiński, B., Szczerbicki, E. (eds) Intelligent Information and Database Systems. ACIIDS 2022. Lecture Notes in Computer Science(), vol 13757. Springer, Cham. https://doi.org/10.1007/978-3-031-21743-2_13
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DOI: https://doi.org/10.1007/978-3-031-21743-2_13
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