Application Research of Visual Cognition Probabilistic Model on Urban Tunnel´s Sign

Driverpsilas characteristics of eye movements can express the visual information processing procedure; the signpsilas safety of urban tunnel stage can be evaluated by recording and analyzing driverpsilas eye-movement characteristics. By using EMR-8B eye tracker system, driverpsilas eye movements was taken as research object, the typical urban tunnel in Shanghai City was selected, 16 times experiment were carried out for 4 drivers. The universal regulations of eye movements were obtained. Considering the target signpsilas location of driverpsilas visual field, the tunnel signpsilas visual cognition probabilistic model based on driverpsilas eye-movement characteristics was established. The visual cognition probabilistic model was applied to evaluate the safety of the urban tunnel sign. The corresponding enhancement method were brought out to improve the signpsilas visual cognition.