基于个体信息需求的草原公路防疲劳预警策略
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(1.北京市交通工程重点实验室(北京工业大学),北京 100124;2.北京工业大学 城市建设学部,北京 100124; 3.北京中交华安科技有限公司,北京 100088;4.北京建筑大学 土木与交通工程学院,北京 102616; 5.广西新发展交通集团有限公司,南宁 530029)

作者简介:

陈家源(1999—),男,硕士研究生;伍毅平(1990—),男,副教授,硕士生导师

通讯作者:

伍毅平,wuyiping@bjut.edu.cn

中图分类号:

U491

基金项目:

广西壮族自治区交通运输厅科技示范工程项目


Anti-fatigue warning strategy for grassland highway based on information demand of individual drivers
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Affiliation:

(1.Beijing Key Laboratory of Traffic Engineering(Beijing University of Technology), Beijing 100124, China; 2.Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing 100124, China; 3.RIOH Traffic Safety Co., Ltd., Beijing 100088, China; 4.School of Civil and Transportation Engineering, Beijing University of Civil Engineering and Architecture, Beijing 102616, China; 5.Guangxi Xinfazhan Communication Group Co.,Ltd., Nanning 530029, China)

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    摘要:

    为缓解驾驶人在草原公路行驶产生的驾驶疲劳,设计一种基于个体信息需求的防疲劳预警策略,采用问卷调查将驾驶人划分成视觉型、听觉型和触觉型3类,综合考虑不同类型驾驶人的个性化信息需求,设计路端预警、车端预警和车端路端协同预警3种草原公路驾驶疲劳预警策略,选取21名驾驶人开展驾驶模拟实验,采集驾驶人KSS量表数据、对预警策略的主观评价数据和驾驶行为数据,利用描述性分析、统计分析和基于熵权的TOPSIS综合分析等方法,进行3种驾驶疲劳预警策略的效果测试。结果表明:驾驶人对3种预警策略的接受程度均较高;3种驾驶疲劳预警策略均可以不同程度地缓解驾驶疲劳状态,协同预警策略优于其他两种策略,且疲劳程度越深,缓解效果越显著。基于驾驶人差异化信息需求的车端路端协同防疲劳预警策略有助于提升草原公路驾驶疲劳预防效果。

    Abstract:

    To alleviate driving fatigue caused by driving on grassland roads, an anti-fatigue warning strategy based on information demand of individual drivers was designed. Based on the questionnaire, drivers were divided into three categories: visual type, auditory type and tactile type. Considering different types of drivers′ customized warning information demand, three kinds of driving fatigue warning strategies on grassland roads were designed, including road warning, vehicle warning and vehicle-road cooperation warning. 21 drivers were selected to carry out driving simulator experiment. The data of KSS scale, subjective evaluation of warning strategy and driving behavior were obtained. The methods of descriptive analysis, statistical analysis and TOPSIS comprehensive evaluation based on entropy weight were applied to test the effectiveness of three driving fatigue warning strategies. The results shown that drivers′ acceptance of the three warning strategies was high; these three warning strategies could alleviate the driving fatigue status in different degrees, the cooperative warning strategy was superior to the other two strategies. Moreover, the alleviation effect of the cooperative warning strategy was more obvious when the driving fatigue degree was deeper. The cooperative driving fatigue warning strategy based on customized information demand of individual drivers was helpful to improve the prevention effect of driving fatigue on grassland roads.

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陈家源,伍毅平,彭志彪,荣建,周晨静,陈开群.基于个体信息需求的草原公路防疲劳预警策略[J].哈尔滨工业大学学报,2024,56(7):63. DOI:10.11918/202206028

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  • 收稿日期:2022-06-07
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  • 在线发布日期: 2024-07-11
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