Real Time Driver Activity Index DetectionUsing Fuzzy Logic

International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering

article

Adnan Shaout¹  Raj Tonshal¹ 

[1] Department Electrical and Computer Engineering, The University of Michigan – Dearborn

关键词: Driver Activity Index;    Vehicle HMI;    CAN;    IVI;    Fuzzy Logic;    Driver Cognitive Load;    Acceleration Pedal;    Steering wheel;   

DOI  :  10.15662/ijareeie.2014.0309002

来源: Research & Reviews

【 摘 要 】

In developing an intelligent human machine interface (HMI) one of the critical components is knowing the state of the driver. Driving is a high cognitive activity and minimizing the distraction is critical. To address this, a Driver Activity Index (DAI) has been developed and presented in this paper to measure how busy the driver is. Two key driving parameters have been used to determine the driver activity index; Acceleration Pedal (ACC Pedal) and steering wheel angle measure. Fuzzy logic is used in modelling and predicting the DAI. Fuzzy logic modelling made computing the DAI in real time possible. Fuzzy logic also has simplified the computation of the DAI whose mathematical representation relating to the key vehicle driving parameters is complex to represent.

【 授权许可】

Unknown