Metric Model of Driving Suitability Based on Disaggregate Theory

In order to quantify the driving suitability,enrich its detection theory and methods,a driving suitability measurement model was built based on MNL model of the disaggregate theory.The number of accidents in a period of time were selected as the alternatives,then individual intrinsic attributes,the physiological and psychological attributes of driver totaled 14 as the influencing factors,then parameters of each factor were demarcated based on actual survey of 200 data.Another 60 driver data were selected to testify the model's validity.The results show that 14 parameters' test values are less than 1.96,they have high significance levels in statistics,that the coefficient of determination is 0.364 748,indicating a high degree of model fit,and the maximum absolute error between statistical values and computational values by MNL is 3.3%,the model has high accuracy to predict the driving suitability.