Study on the differences in visual behavioral characteristics of drivers in bridge and roadbed sections of highways

Jiantao Xu; Zongqiang Liu; Ni Li; Tianming Zhao; Da Ma; Yunxing Yang

doi:10.1117/12.3030706

16 May 2024 Study on the differences in visual behavioral characteristics of drivers in bridge and roadbed sections of highways

Jiantao Xu, Zongqiang Liu, Ni Li, Tianming Zhao, Da Ma, Yunxing Yang

Author Affiliations +

Proceedings Volume 13160, Fourth International Conference on Smart City Engineering and Public Transportation (SCEPT 2024); 1316012 (2024) https://doi.org/10.1117/12.3030706
Event: 4th International Conference on Smart City Engineering and Public Transportation (SCEPT 2024), 2024, Beijin, China

Abstract

To study the differences in driver visual behavior characteristics between bridge sections and roadbed sections of highways, the Smart Eye Pro5.7 non-invasive eye tracker was used to record the driver's eye movement data. Eye movement indicators such as pupil area, X-angle, Y-angle, and percentage of fixation time were used to analyze the data. The results show that compared to general roadbed sections, the pupil area of drivers on bridge sections is larger, indicating that drivers on bridge sections with open spaces on both sides are prone to feeling insecure, and drivers pay more attention to the central divider. The driver pays more attention to the center left position, with the central anti-glare board as the visual focus. On the roadbed section, drivers pay more attention to the center right position and pay less attention to the central divider. Drivers on bridge sections pay more attention to the left side, while those on roadbed sections pay more attention to the middle right side.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jiantao Xu, Zongqiang Liu, Ni Li, Tianming Zhao, Da Ma, and Yunxing Yang "Study on the differences in visual behavioral characteristics of drivers in bridge and roadbed sections of highways", Proc. SPIE 13160, Fourth International Conference on Smart City Engineering and Public Transportation (SCEPT 2024), 1316012 (16 May 2024); https://doi.org/10.1117/12.3030706

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