Innovation Series: Advanced Science (ISSN 2938-9933, CNKI Indexed)

Volume 3 · Issue 7 (2026)
80
views
DOI number:
10.66521/2938-9933-2026072401

The Effect of Edge Rate Markings on Drivers' Visual Perception During Downhill Sections of Highways

 

Zhijie Jiang1,*, Zhengxu Shen2, Wenshuai Wang1, Chunli Yu1

1 Hubei Province Road and Bridge Co., Ltd., Wuhan 430056, China

2 Wuhan University of Technology, School of Transportation and Logistics Engineering, Wuhan, 430063, China

Corresponding Author: Zhijie Jiang (1244662752@qq.com)

 

Abstract: To investigate the effects of edge-rate lane markings on drivers’ visual characteristics during downhill sections of expressways, field tests were conducted on three downhill sections with different gradients. Twenty-eight drivers were recruited, and a Dikablis Glasses eye tracker was used to collect four visual metrics: pupil area, fixation duration, saccade velocity, and blink rate. The results showed that after the installation of edge-rate lane markings, drivers’ average pupil area decreased by 16.2%–18.1%, and blink rate increased by 8.2%–9.4%; the primary distribution range of fixation duration shortened from 400–475 ms to 375–450 ms, and the proportion of saccade velocities exceeding 50°/s increased significantly. A two-way analysis of variance revealed that the application of the markings had a significant main effect on all visual indicators (P < 0.01), and the downhill gradient also had a significant main effect (P < 0.05); however, there was no interaction between the two (P > 0.05). In summary, edge-rate lane markings can effectively reduce drivers’ visual load on downhill sections and improve information processing efficiency. They demonstrate consistent effectiveness across different gradients and can serve as an effective measure for improving traffic safety on downhill sections of expressways.

 

Keywords: Transportation Engineering; Freeway; Edge rate markings; Downhill gradient; Visual characteristics

 

References

[1]
Yang D, Zhang X, Zhang Y, et al. Comparative study on factors for injury severity between highway and roadway motor vehicle crashes in China, 2004–2015[J]. J. Third Mil. Med. Univ, 2017, 39(6): 589-596.
[2]
Wang Shoushuo, Mei Jialin, He Shiming, et al. Pupil area variation and visual adaptation of drivers in urban short underpass tunnels: A field study[J]. Traffic Injury Prevention, 2025: 1-8.
[3]
Mei Jialin, Wang Shoushuo, He Sshiming, et al. Speed control, visual adaptation, and mental workload in urban short underpass tunnels: A naturalistic driving study[J]. Traffic Injury Prevention, 2025: 1-9.
[4]
Jiao Fangtong, Du Zhigang, Wong Y D, et al. Design and evaluation of visual guiding facilities along urban road tunnel horizontal curves based on vision and speed perception[J]. Tunnelling and Underground Space Technology, 2023, 133: 104937.
[5]
Shun-ying Z H U, ZHANG Z, Hong W. Mechanism responsible for velocity reduction by edge rate bars[J]. China Safety Science Journal, 2013, 23(6): 110-115.
[6]
Liu B, Zhu S Y, Wang H, et al. Research on speed reduction phenomenon and mechanism influenced by length of edge rate bars[J]. China Safety Science Journal, 2013, 23(10): 114-120.
[7]
Lyu N C, Peng L F, Wu C Z, et al. Evaluative judgment of the driving behaviors of the edge ratedeceleration bars based on the video trajectory parameters[J]. Journal of Safety and Environment, 2021, 21(02): 461-469.
[8]
Qin Y, Yang N, Xie J, et al. Analysis of drive’s visual differences in typical sections of low-grade highways in mountainous areas[J]. J. Saf. Environ, 2022, 22: 3235-3243.
[9]
Zhang Danni, Chen Fei, Zhu Jiayun, et al. Research on drivers' hazard perception in plateau environment based on visual characteristics[J]. Accident Analysis & Prevention, 2022, 166: 106540.
[10]
Xu Jinliang, Ma Yongji, Gao Chao, et al. Dynamic Response Characteristics of Drivers’ Visual Search Behavior to Road Horizontal Curve Radius: Latest Simulation Experimental Results[J]. Sustainability, 2025, 17(5): 2197.
[11]
He Shiming, Du Zhigang, Han Lei, et al. Impact of urban tunnel sidewall effect on drivers: Examining visual characteristics and driving behavior across different lanes[J]. Tunnelling and Underground Space Technology, 2024, 143: 105476.
[12]
Zhao X, Ju Y, Li J, et al. Evaluation of the effect of RPMs in extra-long tunnels based on driving behavior and visual characteristics[J]. China Journal of Highway and Transport, 2020, 33(6): 29-41.
Download PDF
Innovation Series

Innovation Series is an academic publisher publishing journals and books covering a wide range of academic disciplines.

Contact

Francesc Boix i Campo, 7

08038 Barcelona, Spain