Application of the lane-changing model in the intelligent vehicle system

in this paper, by combining the Intelligent Transportation System and the micro-simulation technology, the fuzzy logic method is used to describe the judgment process based on the driver's knowledge and experience, using the data collected by the perception system of the intelligent vehicle. The fuzzy inference rules and the fuzzy algorithm are designed, and the microscopic lane-changing model is established, which is applied in the automatic drive system. By comparing the lane-changing times and that of simulation under different volumes, the effectiveness of the microscopic lane-changing model is verified. The model provides precise navigation information for the drivers so as to avoid collisions and incidents, and lead the vehicle to a reliable and safe state.