A Study of Individual Characteristics of Driving Behavior Based on Hidden Markov Model
نویسندگان
چکیده
Drivers’ individual difference is one of the key factors to influence the accuracy of driving behavior model. The accuracy of model should include the effect characteristics of individual difference on driving behavior. The overtaking process was the research object to study the individual characteristics of driving behavior. The operation data of accelerator and steering wheel of each driver was analyzed with the character of time series. Based on both of the operation data, hidden Markov model (HMM) was employed to model the individual characteristics of driving behavior. Two individual models were built for each driver, one trained from accelerator data and one learned from steering wheel angel data. The models can be used to identify different drivers and the accuracy can reach to 85 %. It proved that individual difference is one factor which cannot be ignored in driving behavior model, and HMM has effectiveness in modeling it. Copyright © 2014 IFSA Publishing, S. L.
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