How Does Horizontal-Curve Radius Affect Drivers’ Visual and Psychophysiological Load? Evidence from an On-Road Driving Experiment

An on-road experiment with 27 drivers across 50 horizontal curves examined the association between radius and visual psychophysiological workload on a mountainous two-lane highway. Pupil-area change rate, fixation intensity, heart-rate change rate, and heart-rate variability (SDNN) were combined using factor analysis and entropy weighting. Crossed linear mixed-effects models used driver and curve section as random intercepts and radius as a continuous predictor. Smaller radii were generally associated with higher pupil, fixation, and heart-rate responses and lower SDNN. Among linear, quadratic, cubic, and logarithmic forms, the logarithmic comprehensive-load model fit best (AIC = −2511.47; BIC = −2485.43), with a significant radius effect (β = −0.2968, 95% CI: −0.3283 to −0.2653, p < 0.001). Successive-curve inconsistency was not independently significant (p = 0.976). Within 45.83–900.83 m, exploratory workload boundaries were approximately 75, 150, 270, and 500 m. These are preliminary human-factors screening values, not design standards or validated comfort thresholds.

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Publication Details

Journal
Canadian Journal of Civil Engineering
Published
2026-10-27
DOI
https://doi.org/10.1139/cjce-2026-0367
Primary Topic
Traffic and Road Safety
Type
article
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article

How Does Horizontal-Curve Radius Affect Drivers’ Visual and Psychophysiological Load? Evidence from an On-Road Driving Experiment

Zhongshuai Liu, Jiaqi Hu, Meng Yunwei, Longjin Chen et al.
1 links
Canadian Journal of Civil Engineering
Traffic and Road Safety
article

How Does Horizontal-Curve Radius Affect Drivers’ Visual and Psychophysiological Load? Evidence from an On-Road Driving Experiment

Zhongshuai Liu, Jiaqi Hu, Meng Yunwei, Longjin Chen, Junbo Yan, Yulong Li
article en

Abstract

An on-road experiment with 27 drivers across 50 horizontal curves examined the association between radius and visual psychophysiological workload on a mountainous two-lane highway. Pupil-area change rate, fixation intensity, heart-rate change rate, and heart-rate variability (SDNN) were combined using factor analysis and entropy weighting. Crossed linear mixed-effects models used driver and curve section as random intercepts and radius as a continuous predictor. Smaller radii were generally associated with higher pupil, fixation, and heart-rate responses and lower SDNN. Among linear, quadratic, cubic, and logarithmic forms, the logarithmic comprehensive-load model fit best (AIC = −2511.47; BIC = −2485.43), with a significant radius effect (β = −0.2968, 95% CI: −0.3283 to −0.2653, p < 0.001). Successive-curve inconsistency was not independently significant (p = 0.976). Within 45.83–900.83 m, exploratory workload boundaries were approximately 75, 150, 270, and 500 m. These are preliminary human-factors screening values, not design standards or validated comfort thresholds.

Canadian Journal of Civil Engineering
Merchants Chongqing Communications Research and Design Institute (CN), Chongqing Jiaotong University (CN)
Openalex Percentile: Top 13%
Traffic and Road Safety
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