Effects of Blind Area Display of Intelligent Vehicles on Drivers'Cognitive Load and Safety During Lane Change
While providing more environmental information to drivers,the blind area display of intelligent vehicles during lane changes may also increase the driver's cognitive load.To address this issue,this paper presents an improved AttenD algorithm,which establishes a relationship model between the cognitive load and distribution of drivers'fixation points.Field tests were conducted on three intelligent brand cars,and differences in drivers'gaze characteristics,driving behavior characteristics,and cognitive load during the interaction between the driver and lane-changing blind area display were analyzed.Results show that increasing the size of the blind area display,increasing the blind area's ratio on the center control panel,and minimizing unnecessary scanning movements can reduce the cognitive load and improve the safety during lane changes.
intelligent vehiclelane-changing blind area displaycognitive loadlane change safetyAttenD algorithm
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