Fuzzy logic based driving behavior monitoring using hidden Markov models

Bing-Fei Wu*, Ying Han Chen, Chung Hsuan Yeh

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

12 Scopus citations

Abstract

This paper proposes a driving behavior monitoring system to provide drivers an indicator of the danger level for driving safety. The major challenge of the research is to label whether a pattern is dangerous or not for training data. Our approach is to recognize the seven behaviors, normal driving, acceleration, deceleration, changing to the left lane or right lane, zigzag driving, and approaching the car in front by hidden Markov models. The danger-level indicator, on behalf of the dangerous situation of drivers, is inferred by fuzzy rules involved with the above behaviors. The higher the value represents the worse status of drivers, and it also provides three colors representing different levels of warnings to remind drivers of their own states. The uncertain definition of a dangerous pattern is avoided, and the related behaviors leading to the current danger level are offered instead. Moreover, unlike many studies using simulators to validate their systems and experimental results, we collected data from a real vehicle and evaluated the proposed system in a real road environment. The experimental results show that the proposed method achieved an average detection ratio of 95% for behavior recognition and can be used for driving safety.

Original languageEnglish
Title of host publication2012 12th International Conference on ITS Telecommunications, ITST 2012
Pages447-451
Number of pages5
DOIs
StatePublished - 1 Dec 2012
Event2012 12th International Conference on ITS Telecommunications, ITST 2012 - Taipei, Taiwan
Duration: 5 Nov 20128 Nov 2012

Publication series

Name2012 12th International Conference on ITS Telecommunications, ITST 2012

Conference

Conference2012 12th International Conference on ITS Telecommunications, ITST 2012
Country/TerritoryTaiwan
CityTaipei
Period5/11/128/11/12

Keywords

  • Driving behavior
  • fuzzy
  • hidden Markov models

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