Wang Xingang, Hu Xiangyun, Jia Xingli, Jiao Zexuan
Shaanxi Xigongyuan Engineering Testing Co., Ltd., Xi'an, China.
School of Highway Chang'an University, Xi'an, China.
Heliyon. 2024 Aug 20;10(17):e36431. doi: 10.1016/j.heliyon.2024.e36431. eCollection 2024 Sep 15.
Drivers are more likely to feel fatigue when driving on the desert highway due to its single line, monotonous road side landscape, and small traffic volume, etc., so the method of setting fatigue warning signs on desert highway should be studied for. In this paper, field investigation and field test are carried out on the section of Uma Expressway crossing Tengger Desert, and the same road scene and line shape as the actual one are constructed by using uc-win road. Driving simulation experiments were carried out by using driving simulation cabin, collecting heart and muscle electric indexes and analyzing fatigue characteristic law. On this basis, simulation experiments of different fatigue warning signs and stimulation intervals were carried out in multiple groups, and the pattern of cardiac and electromyographic indexes and the interaction law were analyzed based on the artifact correction method after denoising the measured data, so that the optimal setting method was obtained according to the stimulation effect. Based on the artifact correction method, the measured data were de-noised and analyzed the changes of ECG and EMG indexes and the interaction law, and the best setting method was obtained according to the stimulation effect. Finally, the fatigue level was classified based on the cohesive hierarchical system cluster analysis method to verify the rationality of the fatigue warning sign setting scheme. The results show that the driver's psychological fatigue and physiological fatigue both show obvious fluctuation growth, and the growth trend exists in four stages, namely, smooth fluctuation (0-30min), initial fatigue (35-85min), adjustment stage (85-160min), and severe fatigue (after 160min), and psychological fatigue is earlier than physiological fatigue, and the driver's regulation effect on physiological fatigue is better than psychological fatigue. Analysis of the psychological indexes of the four groups of traffic signs shows that the fatigue warning signs with black characters on a white background and set at an interval of 60-80 km have the most obvious effect on driver stimulation in a desert highway with a design speed of 80-100 km/h.
由于沙漠公路线路单一、路边景观单调、交通流量小等原因，驾驶员在沙漠公路上行驶时更容易感到疲劳，因此需要研究在沙漠公路上设置疲劳警示标志的方法。本文对乌玛高速公路穿越腾格里沙漠的路段进行了实地调查和现场测试，并利用uc-win road构建了与实际相同的道路场景和线形。利用驾驶模拟舱进行驾驶模拟实验，采集心脏和肌肉电指标，分析疲劳特征规律。在此基础上，进行了多组不同疲劳警示标志和刺激间隔的模拟实验，并在对实测数据进行去噪处理后，基于伪迹校正方法分析了心脏和肌电指标的变化规律及相互作用规律，从而根据刺激效果获得了最佳设置方法。基于伪迹校正方法，对实测数据进行去噪处理，分析心电图和肌电图指标的变化及相互作用规律，并根据刺激效果获得最佳设置方法。最后，基于凝聚层次系统聚类分析方法对疲劳等级进行分类，以验证疲劳警示标志设置方案的合理性。结果表明，驾驶员的心理疲劳和生理疲劳均呈现明显的波动增长，且增长趋势存在四个阶段，即平稳波动（0 - 30分钟）、初始疲劳（35 - 85分钟）、调整阶段（85 - 160分钟）和严重疲劳（160分钟后），且心理疲劳早于生理疲劳，驾驶员对生理疲劳的调节效果优于心理疲劳。对四组交通标志的心理指标分析表明，在设计速度为80 - 100公里/小时的沙漠公路上，白底黑字、间隔60 - 80公里设置的疲劳警示标志对驾驶员的刺激效果最为明显。
