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Study on the Driver Visual Workload in High-Density Interchange-Merging Areas Based on a Field Driving Test.

Authors :
Zhang, Yue
Jiang, Pei
Wang, Siqi
Cheng, Shuang
Xu, Jin
Liu, Yawen
Source :
Sensors (14248220); Oct2024, Vol. 24 Issue 19, p6247, 18p
Publication Year :
2024

Abstract

A visual workload model was constructed to determine and evaluate drivers' visual workload characteristics in high-density interchange-merging areas. Five interchanges were selected, and a real-vehicle driving test was conducted with 47 participants. To address the differences in drivers' visual characteristics in the interchange cluster merging areas, the Criteria Importance Through Intercriteria Correlation (CRITIC) objective weighting method was employed. Six visual parameters were selected to establish a comprehensive evaluation model for the visual workload in high-density interchange-merging areas. The results show that the average scanning frequency and average pupil area change rate are most strongly correlated with the visual workload, whereas the average duration of a single gaze has the lowest weight in the visual workload assessment system. Different driver visual workloads were observed depending on the environment of the interchange-merging areas, and based on these, recommendations are proposed to decrease drivers' workload, thereby increasing road safety. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14248220
Volume :
24
Issue :
19
Database :
Complementary Index
Journal :
Sensors (14248220)
Publication Type :
Academic Journal
Accession number :
180275954
Full Text :
https://doi.org/10.3390/s24196247