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Speed control, visual adaptation, and mental workload in urban short underpass tunnels: A naturalistic driving study
Jialin Mei1,2, Shoushuo Wang3, Shiming He1,2
1School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan, China.
Objective:
Urban short underpass tunnels, characterized by steep longitudinal slopes, limited lengths, and abrupt light transitions, pose significant driving risks. This study aims to comprehensively investigate drivers' speed control behavior, visual adaptation processes, and mental workload mechanisms within such tunnels under real traffic conditions.
Methods:
A real-vehicle experiment was conducted involving 35 drivers. Data on speed, acceleration, pupil area, and heart rate were collected. The experimental road segment was divided into five sections: entry, downhill, tunnel, uphill, and departure, to analyze driving behavior characteristics and psychophysiological responses systematically.
Results:
Speed increased significantly in the downhill section and decreased notably in the uphill and departure sections. The tunnel section exhibited a high incidence of speeding, while the uphill section showed the most significant speed variability, both identified as high-risk zones for rear-end collisions. Regarding visual adaptation, drivers entered a dark adaptation ∼70 m before reaching the tunnel entrance, marked by a gradual increase in pupil area. Around 50 m before the tunnel exit, drivers transitioned to light adaptation, and the pupil area decreased rapidly. Mental workload analysis revealed that drivers' heart rates increased during the downhill section, peaked shortly after entering the tunnel, and gradually declined as light adaptation began. Further analysis showed that acceleration was negatively correlated with heart rate growth rate (HRG), while pupil area change rate (PAC) and vehicle speed positively correlated with HRG.
Conclusion:
This study reveals that speed behavior, visual adaptation, and mental workload in urban short underpass tunnels vary significantly across road sections, with the tunnel and uphill sections posing the highest risk for rear-end collisions, highlighting the need for targeted tunnel design and traffic safety measures.
