Abstract
The driver's tendency recognition has a great significance for researching of the driver-assistance systems, especially active security warning systems. The car-following model is a basic model of traffic flow micro-simulation. On the basis of the optimal control theory, car-following model is established through analyzing information perception and operation decision. The experiment data from different types of driver's tendency are inputted respectively to the car-following models which consider or disregard driver's tendency. Traffic flow parameters from microscopic stimulation results are compared with the data of road experiments to verify the driver's tendency dynamic recognition model. Results show that the established model of driver's tendency is reasonable and feasible.
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