Driver behavior profiling: An investigation with different smartphone sensors and machine learning

Jair Ferreira Júnior, Eduardo Carvalho, Bruno V Ferreira, Cleidson de Souza, Yoshihiko Suhara, Alex Pentland and Gustavo Pessin

PLOS ONE, 2017, vol. 12, issue 4, 1-16

Abstract: Driver behavior impacts traffic safety, fuel/energy consumption and gas emissions. Driver behavior profiling tries to understand and positively impact driver behavior. Usually driver behavior profiling tasks involve automated collection of driving data and application of computer models to generate a classification that characterizes the driver aggressiveness profile. Different sensors and classification methods have been employed in this task, however, low-cost solutions and high performance are still research targets. This paper presents an investigation with different Android smartphone sensors, and classification algorithms in order to assess which sensor/method assembly enables classification with higher performance. The results show that specific combinations of sensors and intelligent methods allow classification performance improvement.

Date: 2017
References: View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0174959

DOI: 10.1371/journal.pone.0174959

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