A Study on Driving Load While Overtaking on Mountainous Two‐Lane Highways Based on Physiological Characteristics

The traffic environment of mountainous highways is more complex than that of nonmountainous highways, with higher driving loads, which increases the risk in overtaking. The changes in the driver’s pupils, eye gaze behavior, and heart rate can be used to evaluate the level of driving tension and safe...

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Bibliographic Details
Published in:Journal of advanced transportation 2024-11, Vol.2024 (1)
Main Authors: Liu, Tangzhi, Wang, Guyi, Luo, Wangxia, Liu, Ruihang, Liu, Xingliang, Xiang, Tianjun, Liu, Tong
Format: Article
Language:English
Subjects:
Algorithms
Automobile safety
Autonomous vehicles
Behavior
Control systems
Decision making
Eye movements
Freeways
Heart beat
Heart rate
Highway safety
Highways
Mountain regions
Mountainous areas
Mountains
Overtaking
Physiology
Road conditions
Roads & highways
Sight distances
Traffic accidents & safety
Traffic control
Traffic safety
Unmanned aerial vehicles
Visual perception
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Summary:The traffic environment of mountainous highways is more complex than that of nonmountainous highways, with higher driving loads, which increases the risk in overtaking. The changes in the driver’s pupils, eye gaze behavior, and heart rate can be used to evaluate the level of driving tension and safety. To analyze the driving load while overtaking on two‐lane highways in mountainous areas, an actual vehicle test was conducted. Twenty‐one drivers were divided into a skilled group and an unskilled group. The gaze time, gaze transfer characteristics, heart rate changes, and pupil area changes during the three stages of overtaking (intention, execution, and return) were compared and analyzed. The comprehensive evaluation of driving load during the overtaking process used the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method and Rank Sum Ratio (RSR) method. The results show that the two groups of drivers had the highest driving load during the overtaking execution stage and the lowest driving load during the intention stage. The driving load of overtaking on sections with poor‐sight distance was significantly higher than that on sections with good‐sight distance, and the risk in overtaking during the execution and return stages was highest on sections with poor‐sight distance. It is possible to reduce the driving load if the driver is familiar with the road conditions or has a rich driving experience. Compared to the unskilled group, the skilled group had lower driving loads at all stages of overtaking. The research results can provide a theoretical basis for optimizing traffic safety prevention and control technology on mountainous highways and for designing intelligent driving assistance.
ISSN:0197-6729
2042-3195
DOI:10.1155/atr/5348875