Analysis on Characteristics of Driver's Visual Change on the Roundabout

Namgung, Moon; Sung, Soo-Lyeon

doi:10.21184/jkeia.2016.06.10.3.293

Cited by 4 publications

(2 citation statements)

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“…Transportation scholars have explored drivers’ visual search modes in various types of roads [3,4,5,6,7,8] (e.g., mountain roads, roundabouts, overpasses, curved roads, and grassland roads) and different driving environments [9,10,11,12,13,14,15] (e.g., road construction, tunnel entrances, tunnel lighting environments, and traffic signs and billboards). It was found that drivers’ eye movements change with the driving environment.…”

Section: Introductionmentioning

confidence: 99%

Change-Point Analysis of Eye Movement Characteristics for Female Drivers in Anxiety

Guo

Wang

et al. 2019

IJERPH

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Driver hazard perception is highly related to involvement in traffic accidents, and vision is the most important sense with which we perceive risk. Therefore, it is of great significance to explore the characteristics of drivers’ eye movements to promote road safety. This study focuses on analyzing the changes of drivers’ eye-movement characteristics in anxiety. We used various materials to induce drivers’ anxiety, and then conducted the real driving experiments and driving simulations to collect drivers’ eye-movement data. Then, we compared the differences between calm and anxiety on drivers’ eye-movement characteristics, in order to extract the key eye-movement features. The least squares method of change point analysis was carried out to detect the time and locations of sudden changes in eye movement characteristics. The results show that the least squares method is effective for identifying eye-movement changes of female drivers in anxiety. It was also found that changes in road environments could cause a significant increase in fixation count and fixation duration for female drivers, such as in scenes with traffic accidents or sharp curves. The findings of this study can be used to recognize unexpected events in road environment and improve the geometric design of curved roads. This study can also be used to develop active driving warning systems and intelligent human–machine interactions in vehicles. This study would be of great theoretical significance and application value for improving road traffic safety.

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Section: Introductionmentioning

confidence: 99%

Change-Point Analysis of Eye Movement Characteristics for Female Drivers in Anxiety

Guo

Wang

et al. 2019

IJERPH

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show abstract

“…Due to the great progress in the field of artificial intelligence and computer technology, the visual search mode of driver was studied by traffic scholars of relevant field in different road environments such as sharp turn section of mountain road, 4 road construction section, 5 tunnel entrance section, 6 tunnel lighting environment, 7 traffic sign and billboard, [8][9][10] roundabout, 11 curved road, 12,13 grassland road, 14 and urban road. 15 In terms of the relationship between emotion and visual search pattern, Dickins et al [16][17][18] found that eye gaze time was lengthened when learning under the negative emotion.…”

Section: Introductionmentioning

confidence: 99%

Analysis of female novice extroversion driver’s eye movement characteristics under anxiety

Liu

Wang

Liu

et al. 2019

Advances in Mechanical Engineering

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Anxiety is a common emotion of driver, which always affects the safety of driving. Eye movement characteristics can be used to understand the true emotion state of human beings. It is of great significance to study the law of eye movement for realizing active vehicle safety warning and human-machine cooperation. In this article, anxiety-induction experiment, real-vehicle driving experiments, and virtual driving experiments were designed and used to obtain the eye movement data of female novice extroversion driver under calm and anxiety, and mathematical statistics analysis was made on the fixation count, fixation duration, and visit duration in the area of interest within the driver horizon. The results showed that there are significant differences in fixation count and fixation duration of drivers (p\0:05, p is the accompanying probability), and the main effect of emotion is significant (p\0:05).Compared with the situation of calm, fixation area, fixation count, and fixation duration of drivers under anxiety were more focused on the middle area, the fixation count and visit duration on the left area were relatively more, the fixation duration on the right area was relatively longer, and anxiety was more likely to cause driver's attention bias.

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Effect of interchange spacing on drivers' visual characteristics in interchange merging areas

Liu,

He,

Wang

et al. 2024

Heliyon

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Analysis on Characteristics of Driver's Visual Change on the Roundabout

Cited by 4 publications

References 0 publications

Change-Point Analysis of Eye Movement Characteristics for Female Drivers in Anxiety

Change-Point Analysis of Eye Movement Characteristics for Female Drivers in Anxiety

Analysis of female novice extroversion driver’s eye movement characteristics under anxiety

Effect of interchange spacing on drivers' visual characteristics in interchange merging areas

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