Abstract
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.
Highlights
When driving on urban road, about 80%–90% safe driving information of drivers was from eyes, and 95% information was dynamic [1, 2]
Numerous studies showed that safe driving was most closely related to the drivers’ dynamic visual features
By introducing different kinds of streets into different rode, Crundall and Underwood studied the differences of visual search strategy between nonskilled drivers and skilled drivers [7]
Summary
When driving on urban road, about 80%–90% safe driving information of drivers was from eyes, and 95% information was dynamic [1, 2]. Numerous studies showed that safe driving was most closely related to the drivers’ dynamic visual features. Underwood et al from England Nottingham University studied the reasons that visual search range of nonskilled drivers is less than that of skilled drivers in horizon. They researched the visual search characters of the nonskilled drivers and skilled drivers through watching a scene video obtained from real traffic situation in the laboratory [6]. By introducing different kinds of streets into different rode, Crundall and Underwood studied the differences of visual search strategy between nonskilled drivers and skilled drivers [7]. Falkmer and Gregersen researched the difference of visual search strategies between the nonskilled drivers and skilled drivers using eye tracking system [9]. It was necessary to study the visual features of different experience drivers in various traffic environments
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