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

Author

Listed:
  • Jair Ferreira Júnior
  • Eduardo Carvalho
  • Bruno V Ferreira
  • Cleidson de Souza
  • Yoshihiko Suhara
  • Alex Pentland
  • Gustavo Pessin

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.

Suggested Citation

  • Jair Ferreira Júnior & Eduardo Carvalho & Bruno V Ferreira & Cleidson de Souza & Yoshihiko Suhara & Alex Pentland & Gustavo Pessin, 2017. "Driver behavior profiling: An investigation with different smartphone sensors and machine learning," PLOS ONE, Public Library of Science, vol. 12(4), pages 1-16, April.
    • Handle: RePEc:plo:pone00:0174959
    DOI: 10.1371/journal.pone.0174959
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    Citations

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    Cited by:

    1. Waseem Alam & Haiyan Wang & Amjad Pervez & Muhammad Safdar & Arshad Jamal & Meshal Almoshaogeh & Hassan M. Al-Ahmadi, 2024. "Analysis and Prediction of Risky Driving Behaviors Using Fuzzy Analytical Hierarchy Process and Machine Learning Techniques," Sustainability, MDPI, vol. 16(11), pages 1-27, May.
    2. Christopher Blier-Wong & Hélène Cossette & Luc Lamontagne & Etienne Marceau, 2020. "Machine Learning in P&C Insurance: A Review for Pricing and Reserving," Risks, MDPI, vol. 9(1), pages 1-26, December.
    3. Xiamei Wen & Liping Fu & Ting Fu & Jessica Keung & Ming Zhong, 2021. "Driver Behavior Classification at Stop-Controlled Intersections Using Video-Based Trajectory Data," Sustainability, MDPI, vol. 13(3), pages 1-18, January.
    4. Maria Nadia Postorino & Giuseppe M. L. Sarnè, 2023. "Using Reputation Scores to Foster Car-Sharing Activities," Sustainability, MDPI, vol. 15(4), pages 1-24, February.

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