Detection of hazardous driving behavior using fuzzy logic

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.

[1]  Dejan Mitrovic,et al.  Reliable method for driving events recognition , 2005, IEEE Transactions on Intelligent Transportation Systems.

[2]  Kazuya Takeda,et al.  Driver Modeling Based on Driving Behavior and Its Evaluation in Driver Identification , 2007, Proceedings of the IEEE.

[3]  C Tomasi,et al.  Shape and motion from image streams: a factorization method. , 1992, Proceedings of the National Academy of Sciences of the United States of America.

[4]  Sei-Wang Chen,et al.  Dangerous Driving Event Analysis System by a Cascaded Fuzzy Reasoning Petri Net , 2006, 2006 IEEE Intelligent Transportation Systems Conference.

[5]  D. Mitrovic.  Driving event recognition by hidden Markov models , 1999, 4th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Services. TELSIKS'99 (Cat. No.99EX365).