Computer Science ›› 2015, Vol. 42 ›› Issue (Z6): 67-69.

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Fatigue Driving Monitoring Based on BP Neural Network

CHEN Zhi-yong, YANG Pei, PENG Li, MO Zi-xing and CAI Gang   

  • Online:2018-11-14 Published:2018-11-14

Abstract: In road safety,fatigue driving is one of the main causes of serious traffic accident.Based on fatigue driving characteris-tics,we first used the statistical data to analysis the relationship between different conditions(fatigue,alert ) and vehicle data(velocity,acceleration,steering wheel angle etc.) to choose the index variable of driver fatigue.Then we pretreated the collect data and put variables into BP neural network,and established and fatigue detection model to rea-lize the monitoring of drivers’ safety.Experiments show that the accuracy rate of model is 91.67%.

Key words: Fatigue driving,Fatigue index,BP neural network,Fatigue detection

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