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Detection of hazardous driving behavior using fuzzy logic

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4 Author(s)
T. Imkamon ; Department of Control System and Instrumentation Engineering, King Mongkut¿s University of Technology Thonburi, Thailand ; P. Saensom ; P. Tangamchit ; P. Pongpaibool

We propose a system that can record driving events and detect unsafe driving behaviors. Three sensors, an engine control unit (ECU) reader, a 3-axis accelerometer, and a camera are used, in which they represent the car, the passenger, and the driverpsilas perspective. Our system combines data from these three sensors with a fuzzy inference system to identify an event of hazardous driving. The output of the system is the driving risk level ranging from 1 to 3, where 1 is the safest. The output of the system was verified by comparison with a questionnaire from three passengers in a test run experiment.

Published in:

Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, 2008. ECTI-CON 2008. 5th International Conference on  (Volume:2 )

Date of Conference:

14-17 May 2008