This study aimed to investigate on whether the DWPT (the subjective Driving-Workload Prediction Tool) could be identified driving-workload according to road characteristics: the local road and the urban road. We had performed statistical analysis using thedata of 26 drivers (male: 15, female: 11; age: 36.54(SD=14.28)) from real driving environment. The DWPT score and EEG data were analyzed. The participants asked to fill out the DWPT Questionnaire before starting driving experiment. EEG data were collected using the FOT (Field Operational Test) method during main driving experiment. The DWPT is the developed questionnaire for predicting on drivers＼` subjective driving-workload based on drivers` attitude on driving and their psychological characteristics in previous study. The DWPT is composed of three sub factors: the Situational Inadaptability, the Interpersonal Inadaptability, and the Risk Taking Personality. In this study, we had performed the regression analysis by setting the DWPT as an independent variable. As a result of analysis, the total score of DWPT had predicted driving-workload significantly while driving in the curve at both local and urban roads. However, the sub-factors of DWPT, the Situational Inadaptability, the Interpersonal Inadaptability, and the Risk Taking Personality, had predicted driving-workload inconsistently according to different road types. For details, the situational inadaptability was predicted driving-workload significantly during driving on the curve of both types of road.