Mechanisms of Effect of Warning Stimuli on Driver Takeover Performance
To investigate the mechanisms underlying the influence of different modal warning stimuli on takeover performance,this study focuses on the alertness effects of single-modal and dual-modal warning stimuli on drivers under various non-driving tasks and triggering scenarios.Firstly,a test bench experiment was conducted to examine the driver's takeover of vehicle control under different warning stimuli.Eye movement data and vehicle data were collected from a sample of 49 drivers,and a significance analysis was performed to assess the impact.The results reveal that the type of warning significantly affects takeover time and first gaze time.Engaging in non-driving related tasks negatively impacts takeover time.Additionally,the first gaze time for bimodal warning stimuli is lower than that for unimodal stimuli.Maximum lateral acceleration was minimized with both visual and haptic warning stimuli,resulting in a more stable vehicle takeover and the highest takeover quality.The traverse angle of the bimodal warning stimulus was generally smaller than that of the unimodal warning stimulus,making the vehicle more stable.However,the visual warning stimulus had the largest maximum lateral acceleration under the unimodal warning stimulus,resulting in the worst takeover performance.The different modal warning stimuli had no significant effect on the takeover mode.The bimodal warning stimuli relied more on multi-sensory effects,providing comprehensive and accurate warning information.They achieved better warning performance,particularly the tactile vibration warning mode with driver body contact.
intelligent transportationwarning stimulustwo-way ANOVAhuman-machine interfaceeye movement datavehicle dynamics
万方数据
维普
