College of Traffic & Transportation, Chongqing Jiaotong University, Chongqing 400074, China.
Shenzhen General Integrated Transportation and Municipal Engineering Design & Research Institute Co., Ltd., Shenzhen 518003, China.
Sensors (Basel). 2024 Sep 26;24(19):6247. doi: 10.3390/s24196247.
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.
构建了一个视觉工作负荷模型，以确定和评估高密度互通式立交合流区驾驶员的视觉工作负荷特征。选择了五个互通式立交，并对 47 名参与者进行了真实车辆驾驶测试。为了解决驾驶员在互通式立交合流区视觉特征的差异，采用了准则重要性通过互准则相关性（CRITIC）客观赋权法。选择了六个视觉参数来建立一个用于高密度互通式立交合流区视觉工作负荷的综合评价模型。结果表明，平均扫视频率和平均瞳孔面积变化率与视觉工作负荷相关性最强，而单次注视的平均持续时间在视觉工作负荷评估系统中的权重最低。根据互通式立交合流区的环境观察到了不同的驾驶员视觉工作负荷，并根据这些提出了降低驾驶员工作负荷的建议，从而提高道路安全性。
