Abstract
Based on the essence of the behavior, the driver's lane changing behavior is analyzed, and the lane changing process is divided into the lane changing intent recognition phase and the lane changing phase according to the lane changing trajectory. For different drivers, the use of principal component analysis and K clustering methods for style division. The differences between different drivers in lane changing time, expected speed and lane changing psychology were analyzed.
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