A Study of Individual Characteristics of Driving Behavior based on Hidden Markov Model

摘要

Drivers’ individual difference is one of the key factors to influence the accuracy of drivingbehavior model. The accuracy of model should include the effect characteristics of individualdifference on driving behavior. The overtaking process was the object of research in thispaper. The operation data of accelerator and steering wheel of each driver was analyzed withthe 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. Twoindividual models were built for each driver, one trained from accelerator data and onelearned from steering wheel angel data. The models can be used to identify different driversand the accuracy can reach to 85%. It proved that individual difference is one factor whichcan’t be ignored in driving behavior model, and HMM has effectiveness in modeling it.