Abstract: The existing driver model less considers the driver characteristic factors. To overcome this shortcoming, the expressway weaving area is chosen as the research object to build a gap acceptance model. First, a large number of vehicle trajectory data is generated using the video processing software VEVID. Second, a continuous driver type integration model is proposed using fuzzy clustering theory and K-S test method. Third, the mutual cooperation mechanism is introduced into the lane change process of the expressway weaving area, and the influence of driver characteristics on the driving behavior is considered to build the gap acceptance model. Finally, the microscopic traffic simulation system MTSS is taken as the simulation platform to build a merging simulation model to validate the gap acceptance model. Results show that the error between the simulation value and real measured value is less than 10%, which indicates that the proposed gap acceptance model can be used to describe the impact of driver type on driving behavior.

Key words: engineering of communications and transportation, driver characteristic, expressway weaving area, gap acceptance model, model validation