Research on Driving Behavior at Highway Intersections;

Application of D-S evidence theory to recognize driving behavior making-decision;

Interpreting and emulating echo wave speed based on common characteristics of driving behavior;

In the proposed procedure,calibrations of important variables of traffic flow and driver behavioral characteristics were performed non-sequentially.

In the end it was discussed that EEG’s appliance in analyzing driver behavior:evaluating road’s traffic safety and studying driver fatigue.

Well comprehending the characteristics of driver is the fundamental of modeling driver behaviors.

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.