伍毅平, 赵子龙, 彭志彪, 荣建. 草原公路车载个性化防疲劳预警策略[J]. 北京工业大学学报, 2023, 49(8): 884-895. DOI: 10.11936/bjutxb2022050009
    引用本文: 伍毅平, 赵子龙, 彭志彪, 荣建. 草原公路车载个性化防疲劳预警策略[J]. 北京工业大学学报, 2023, 49(8): 884-895. DOI: 10.11936/bjutxb2022050009
    WU Yiping, ZHAO Zilong, PENG Zhibiao, RONG Jian. Personalized On-board Warning Strategies for Driving Fatigue on Grassland Highway[J]. Journal of Beijing University of Technology, 2023, 49(8): 884-895. DOI: 10.11936/bjutxb2022050009
    Citation: WU Yiping, ZHAO Zilong, PENG Zhibiao, RONG Jian. Personalized On-board Warning Strategies for Driving Fatigue on Grassland Highway[J]. Journal of Beijing University of Technology, 2023, 49(8): 884-895. DOI: 10.11936/bjutxb2022050009

    草原公路车载个性化防疲劳预警策略

    Personalized On-board Warning Strategies for Driving Fatigue on Grassland Highway

    • 摘要: 为制定针对草原公路驾驶疲劳的有效预警策略,以驾驶人在草原公路连续驾驶时的易疲劳点为基础,参照应激反应理论和神经语言程序理论将驾驶人划分为视觉型、听觉型和触觉型3种刺激偏好类型,结合已有典型防疲劳车载设备确定刺激手段和参数,构建了满足驾驶人刺激选择偏好的车载差异化驾驶防疲劳预警策略,并通过对比驾驶模拟实验验证了策略的有效性。研究结果表明:相比其他刺激模式及空白对照组,给予驾驶人所属类型预警刺激时,其驾驶疲劳状态自评值、速度特征值、加速度特征值、横向偏移特征值和节气门功效特征值在实验前后变化最小;驾驶人对所偏好预警信号刺激的理解度和接受度最高,烦扰度最小;TOPSIS综合评价结果显示,不同刺激模式缓解驾驶疲劳效果不同,随着疲劳程度加深,给予驾驶人所偏好的预警刺激信号可以更加有效地缓解驾驶疲劳。

       

      Abstract: To develop an effective warning strategy for driving fatigue on grassland highway, which is based on the prone points of driver fatigue during driving on grassland highway, drivers were divided into three types of stimulation preference (i.e., visual, auditory, and tactile) according to stress response theory and neuro-linguistic program theory. The existing typical anti-fatigue on-board equipment was referenced to determine the stimulation means and parameters for driving fatigue. A personalized anti-fatigue warning strategy was constructed to satisfy drivers' various preferences for stimulus selection. The effectiveness of this strategy was verified by driving simulator experiments. Results show that compared with other stimulus modes and blank control group, when the type of warning stimulus was preferred by drivers, the self-rating value of driving fatigue state, speed eigenvalue, acceleration eigenvalue, lateral offset eigenvalue and throttle power eigenvalue changed the least before and after the experiment. Drivers have the highest understanding and acceptance as well as the least disturbance of the preferred warning stimulus. The evaluation results by TOPSIS method indicated that different stimulus modes had different effects on alleviating driving fatigue. With the deepening of fatigue degree, drivers' preferred warning stimulus would alleviate driving fatigue more effectively.

       

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