摘要：In order to study the influence of driving experience and traffic flow conditions on driver's visual search mode, an experiment platform was built. Driver's eye movement data was collected through a large number of real vehicle tests. By analyzing the visual features variations of different experience drivers at peak and peaceful peak period, we found out the change laws of different experience drivers in their driving process. To study different drivers' fixation areas in different traffic flow conditions, the clustering method of k-means was selected to cluster plane coordinates of drivers' fixation point with driver's interesting regions in the process of driving, and driver's vision plane was divided into eight regions finally. The results of the study showed that the clustering method of k-means could divide driver's vision plane more accurate, and driving experience and traffic flow conditions could influence driver's visual search mode obviously.
