Study on Individual Differences of Drivers’ Eye Movement Characteristics under a Simulated Driving Environment

Guo, Weiwei; Guo, Zihui; Li, Qian; Tan, J.; Mao, Yan; Jiao, Chengwu

doi:10.1061/9780784482292.049

Cited by 1 publication

(1 citation statement)

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“…Some scholars investigated the effects of visual and auditory load and driving task demands on drivers’ eye movement behavior, drivers’ average fixation duration, and variance of fixation duration increased with the increase of visual load and task difficulty ( Victor et al, 2005 ). A study was carried out to analyze the influence of the traffic environment and proficiency on drivers’ workload, and the correlation between eye movement behavior and workload was analyzed ( Guo, 2009 ). The results showed that different traffic environments and driving experiences have a significant influence on drivers’ eye movement behavior and workload.…”

Section: Introductionmentioning

confidence: 99%

Utilization of Drivers’ Dynamic Visual Characteristics to Find the Appropriate Information Quantity of Traffic Engineering Facilities on Straight Roads of Grassland Highways

Song-fang²,

Yang³

et al. 2022

Front. Neurosci.

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To find the appropriate range of information quantity, we studied how the information quantity of traffic engineering facilities (TEFs) on straight roads of grassland highways affects a driver’s eye movements. We used a combination of survey, statistics, analysis of variance, and the establishment of virtual scene to do this research, and carried out simulated driving tests at six levels (Z0, Z1, Z2, Z3, Z4, and Z5) of TEF information quantity. The driver’s fixation duration, visual search breadth, and glance speed were evaluated in a quantitative way. Results showed that the information quantity had a significant impact on eye movements. It is concluded that the information quantity from 0 to 10 bits/km may cause problems to drivers, whereas the information quantity of 40 bits/km serves as the limit. The information quantity from 30 to 40 bits/km is the appropriate one for TEF on grassland highways.

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Section: Introductionmentioning

confidence: 99%