In order to study driver pattern and population clustering feature,driver behavior self-reported investigation for normal drivers was conducted with standardized driver behavior questionnaire(DBQ),and its validity and reliability of the questionnaire were verified based on statistics analysis.

Review of the simulation model of driving behavior;

In driving decision-making process,driving behavior is usually affected by many elements,such as human,vehicle, road and environment.

To provide a theoretical reference for the development of advanced vehicle control systems and intelligent vehicles, the principal component analysis was used to determine the influence coefficient of multi-information on driving behavior decision-making, and the fuzzy integral fusion algorithm was applied to obtain the running pattern of a vehicle after the task concentration of the driver.