Mixed effects model on driver steering behavior under emergency based on driving prones factor

It is very important to study driver behavior to ensure traffic safety. Electrocardiograph, Freecod data collecting system and dynamics GPS are utilized to study the eight drivers' behavior under emergency in the Transportation Communication Trial Field. Firstly, driving pones factor was given. Secondly, driving time, personality, driving experience and age were quantified, finally the improved mixing effects model between maximum steering velocity and heart rate change rate were established and the model was testified. The results show that the model is valid.