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认知分心情境下驾驶人应激反应行为研究 CSCD PKU
期刊论文 | 2024 , 43 (03) , 54-63,115 | 重庆交通大学学报(自然科学版)
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Abstract :

选取40名被试,采用2-back任务诱导认知分心,利用驾驶模拟系统构建行人-机动车、非机动车-机动车和机动车-机动车等3种应激场景,开展了不同应激场景正常驾驶及认知分心驾驶2种工况驾驶人的应激反应实验研究;根据采集的被试的眼动、脑电和驾驶行为等数据,分析了认知分心驾驶工况驾驶人的应激反应行为特性;对实验结果进行集对分析(SPA),完成了不同应激场景下驾驶人应激反应行为的安全性评估。结果表明:驾驶人应激反应行为的安全性因受认知分心的影响而降低,其中在行人应激场景下的影响最为显著。

Keyword :

交通工程 交通工程 应激反应 应激反应 认知分心 认知分心 集对分析 集对分析 驾驶模拟 驾驶模拟

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GB/T 7714 杨艳群 , 黄永健 , 罗秀玲 et al. 认知分心情境下驾驶人应激反应行为研究 [J]. | 重庆交通大学学报(自然科学版) , 2024 , 43 (03) : 54-63,115 .
MLA 杨艳群 et al. "认知分心情境下驾驶人应激反应行为研究" . | 重庆交通大学学报(自然科学版) 43 . 03 (2024) : 54-63,115 .
APA 杨艳群 , 黄永健 , 罗秀玲 , Said M.EASA , 郑新夷 . 认知分心情境下驾驶人应激反应行为研究 . | 重庆交通大学学报(自然科学版) , 2024 , 43 (03) , 54-63,115 .
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基于DEA模型的山区公路视线诱导设施综合效用评价
期刊论文 | 2024 , 24 (03) , 1-9 | 交通工程
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Abstract :

为减少弯道段交通事故,对山区公路视线诱导设施综合效用进行研究.在弯道段单独或组合设置护栏、轮廓标、线形诱导标3类视线诱导设施,并基于驾驶模拟器、眼动仪和脑电仪获取眼动、脑电及驾驶行为数据,分析不同设置方案下驾驶人的行为特性.基于超效率BCC-DEA模型,构建山区公路弯道视线诱导设施有效性评价体系,对不同设置方案的综合效果进行评价.结果表明:视线诱导设施组合设置对驾驶行为的影响比单独设置效果更好,其中采用“线形诱导标+轮廓标”设置效果最优;视线诱导设施设置数量超过2个时会降低警示与诱导效果;指标敏感性分析表明,速度和横向位移指标分别是单独与组合设置时影响安全过弯的关键因素.

Keyword :

山区公路弯道 山区公路弯道 数据包络分析 数据包络分析 视线诱导设施 视线诱导设施 超效率分析 超效率分析 驾驶模拟 驾驶模拟

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GB/T 7714 杨艳群 , 黄永 , 姚羽珊 et al. 基于DEA模型的山区公路视线诱导设施综合效用评价 [J]. | 交通工程 , 2024 , 24 (03) : 1-9 .
MLA 杨艳群 et al. "基于DEA模型的山区公路视线诱导设施综合效用评价" . | 交通工程 24 . 03 (2024) : 1-9 .
APA 杨艳群 , 黄永 , 姚羽珊 , 郑新夷 . 基于DEA模型的山区公路视线诱导设施综合效用评价 . | 交通工程 , 2024 , 24 (03) , 1-9 .
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驾驶特性对驾驶人应激反应的影响研究
期刊论文 | 2024 , 41 (01) , 87-95 | 华东交通大学学报
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Abstract :

【目的】驾驶人在行驶中受交通应激事件的影响,为探索应激反应的程度展开研究。【方法】采用维也纳交通心理测试系统(VTS)甄选出高驾驶特性组(H组)和低驾驶特性组(L组)各21名被试进行试验,通过统计学方法分析不同驾驶特性群体的应激反应特征,并采用集对分析模型评价被试的应激反应优劣。【结果】研究结果表明:通过检测驾驶人的驾驶特性能力区分其应激反应能力可行,提高驾驶特性能够帮助驾驶人提高应激能力,情况越危急,提高的幅度越大。【结论】试验中,在所有应激距离下,H组的应激反应均优于L组,且应激距离的减少对L组的影响比H组大;在交通应激事件中为驾驶人提供1 s以上交通冲突时间是必要的。

Keyword :

交通运输 交通运输 应激反应 应激反应 集对分析 集对分析 驾驶模拟 驾驶模拟 驾驶特性 驾驶特性

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GB/T 7714 梁钰 , 杨艳群 , 祝站东 et al. 驾驶特性对驾驶人应激反应的影响研究 [J]. | 华东交通大学学报 , 2024 , 41 (01) : 87-95 .
MLA 梁钰 et al. "驾驶特性对驾驶人应激反应的影响研究" . | 华东交通大学学报 41 . 01 (2024) : 87-95 .
APA 梁钰 , 杨艳群 , 祝站东 , 陈铭 , 林君君 , 郑新夷 . 驾驶特性对驾驶人应激反应的影响研究 . | 华东交通大学学报 , 2024 , 41 (01) , 87-95 .
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Evaluation of driver's situation awareness in freeway exit using backpropagation neural network SSCI
期刊论文 | 2024 , 105 , 42-57 | TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR
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Based on combining the relevant studies on situation awareness (SA), this paper integrated multiple indicators, including eye movement, electroencephalogram (EEG), and driving behavior, to evaluate SA. SA is typically divided into three stages: perception, understanding and prediction. This paper used eye movement indicators to represent perception, EEG indicators to represent understanding, and driving behavior indicators to represent prediction. After identifying indicators for evaluating SA, a driving simulation experiment was designed to collect data on the indicators. 41 subjects were recruited to participate in the investigation, and the experimenter collected data from each subject in a total of 9 groups. After removing 4 groups of invalid data, 365 groups of valid data were finally obtained. The grey correlation analysis was used to optimize the SA indicators, and 10 SA evaluation indicators were finally determined. There were the average fixation duration, the nearest neighbor index, pupil area, the percentage power spectral density values of the 3 rhythmic waves (0 , alpha , beta), rhythmic wave energy combination parameters ( alpha / 0), mean speed, SD of speed and acceleration. Taking the optimized 10 indicators as input and the SA scores as output, a backpropagation neural network model with a topological structure of 10-8-1 was constructed. 75% of the data were randomly selected for model training, and the final network training 's mean square error was 0.0025. Using the remaining 25% of data for verification, the average absolute error and average relative error of the predicted results are 0.248 and 0.046, respectively. This showed that the model was effective, and it was feasible to evaluate the SA by using the data of eye movement, EEG and driving behavior parameters.

Keyword :

Backpropagation neural network Backpropagation neural network Electroencephalogram Electroencephalogram Eye movement Eye movement Situation awareness Situation awareness

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GB/T 7714 Yang, Yanqun , Chen, Yue , Easa, Said M. et al. Evaluation of driver's situation awareness in freeway exit using backpropagation neural network [J]. | TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR , 2024 , 105 : 42-57 .
MLA Yang, Yanqun et al. "Evaluation of driver's situation awareness in freeway exit using backpropagation neural network" . | TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR 105 (2024) : 42-57 .
APA Yang, Yanqun , Chen, Yue , Easa, Said M. , Lin, Jie , Chen, Meifeng , Zheng, Xinyi . Evaluation of driver's situation awareness in freeway exit using backpropagation neural network . | TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR , 2024 , 105 , 42-57 .
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Evaluating Acceptance of Novel Vehicle-Mounted Perfume Automatic Dispersal Device for Fatigued Drivers SCIE
期刊论文 | 2024 , 14 (11) | APPLIED SCIENCES-BASEL
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This paper evaluates the influence of different variables on drivers' willingness to accept and use a vehicle-mounted perfume automatic dispersal device (VP-ADD) connected to the vehicle's electronic map. Based on the technical acceptance model, we clarify and condense the explanation of the model used to evaluate the impact of user behavior attitudes and device characteristics on six factors, perceived usefulness, perceived ease of use, attitude towards use, intention to use, perceived playfulness, and perceived risk, proposing eight hypotheses. Then, we assessed the responses of 562 drivers in China using SPSS for reliability and validity and AMOS for structural equation modeling to test our hypotheses. The findings reveal that the perceived usefulness, ease of use, playfulness, and risk significantly affected the willingness to accept and use the VP-ADD. Furthermore, the perceived risk has a negative influence, while the perceived usefulness, perceived ease of use, perceived playfulness, and attitude towards use have a positive influence. This research is significant for further development and application of the VP-ADD. It is essential to alleviate driver fatigue, ensure traffic safety, and provide theoretical and empirical support for designing more popular driving assistance devices. Furthermore, it offers valuable insights for developing fatigue driving warning policies, in-vehicle device guidelines, and traffic safety regulations.

Keyword :

car drivers car drivers perfume perfume structural equation model structural equation model technology acceptance model technology acceptance model

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GB/T 7714 Yang, Yanqun , Wu, Xinli , Wang, Linwei et al. Evaluating Acceptance of Novel Vehicle-Mounted Perfume Automatic Dispersal Device for Fatigued Drivers [J]. | APPLIED SCIENCES-BASEL , 2024 , 14 (11) .
MLA Yang, Yanqun et al. "Evaluating Acceptance of Novel Vehicle-Mounted Perfume Automatic Dispersal Device for Fatigued Drivers" . | APPLIED SCIENCES-BASEL 14 . 11 (2024) .
APA Yang, Yanqun , Wu, Xinli , Wang, Linwei , Easa, Said M. , Zheng, Xinyi . Evaluating Acceptance of Novel Vehicle-Mounted Perfume Automatic Dispersal Device for Fatigued Drivers . | APPLIED SCIENCES-BASEL , 2024 , 14 (11) .
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基于模糊数学方法评价自动驾驶接管绩效
期刊论文 | 2024 , 12 (07) , 412-424 | 心理技术与应用
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采用问卷和实验方法,并利用模糊数学方法探讨接管前置时间、驾驶信任、情绪唤醒以及性别因素对接管绩效的综合影响。结果发现:3s前置时间的接管绩效最佳,5s次之,8s最差;低驾驶信任度的驾驶员接管绩效优于高信任度的;男性驾驶员的接管绩效优于女性,唤起中性情绪时驾驶员的接管绩效优于积极情绪时,并且交互作用显示,男性唤起积极情绪后接管绩效最差。主要结论是,驾驶员的情绪稳定有利于驾驶员在紧急情况下接管车辆。

Keyword :

接管绩效 接管绩效 模糊数学 模糊数学 自动驾驶 自动驾驶 驾驶接管 驾驶接管

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GB/T 7714 郑新夷 , 朱圆圆 , 杨艳群 et al. 基于模糊数学方法评价自动驾驶接管绩效 [J]. | 心理技术与应用 , 2024 , 12 (07) : 412-424 .
MLA 郑新夷 et al. "基于模糊数学方法评价自动驾驶接管绩效" . | 心理技术与应用 12 . 07 (2024) : 412-424 .
APA 郑新夷 , 朱圆圆 , 杨艳群 , 翁高悦 . 基于模糊数学方法评价自动驾驶接管绩效 . | 心理技术与应用 , 2024 , 12 (07) , 412-424 .
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Impact of variable message signs on drivers' situation awareness in freeway exit areas SSCI
期刊论文 | 2024 , 105 , 395-416 | TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR
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The driving environment in the freeway exit areas is complex, and the installation of relevant signs can enhance the creation of a safe and smooth exit area environment. This study investigated the situation awareness (SA) scores of two types of drivers using different signs in the freeway exit areas and the correlation between drivers' eye movement, driving behavior, and SA scores. The driving tasks were divided into two situations: continuing on the mainline and entering the exit ramp. The independent variables included scene type (static speed limit signs, static speed limit signs plus variable message signs, variable speed limit signs, variable speed limit signs plus variable message signs), and participant type (experienced and inexperienced participants). The dependent variables were SA, eye movement, and driving behavior. Each participant completed a driving simulation experiment with the two driving tasks, totaling eight scenes. The SA scores were measured using the Situation Awareness Global Assessment Technique (SAGAT). The driving behavior and eye movement were collected during the experimental data analysis segment, and the sensitivity indicators for evaluating drivers' SA were determined by calculating the correlation with the SAGAT scores. This paper focuses on applying variable message signs (VMS) to speed limits in freeway exit areas from the driver's perspective to enhance driving safety. The findings showed that drivers have better SA in scenes with VMS, and experienced drivers have better SA than inexperienced drivers in the same scene. The VMS affects speed control, and eye movement is a sensitive SA indicator.

Keyword :

Driving behavior Driving behavior Eye movement Eye movement SAGAT SAGAT Situation awareness Situation awareness Variable message signs Variable message signs

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GB/T 7714 Yang, Yanqun , Chen, Yue , Easa, Said M. et al. Impact of variable message signs on drivers' situation awareness in freeway exit areas [J]. | TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR , 2024 , 105 : 395-416 .
MLA Yang, Yanqun et al. "Impact of variable message signs on drivers' situation awareness in freeway exit areas" . | TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR 105 (2024) : 395-416 .
APA Yang, Yanqun , Chen, Yue , Easa, Said M. , Chen, Ming , Zheng, Xinyi . Impact of variable message signs on drivers' situation awareness in freeway exit areas . | TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR , 2024 , 105 , 395-416 .
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Effect of driving distractions on driver mental workload in work zone's warning area SSCI
期刊论文 | 2023 , 95 , 112-128 | TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR
WoS CC Cited Count: 7
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Traffic accidents are common in advanced warning areas of a maintenance work zone. One of the reasons for the accident is that the complex driving environment of the warning area makes drivers need to change lanes and speed frequently. Another reason is that driving distractions shift the driver's mental workload and make the drivers unable to complete the driving task well. The paper aimed to examine the impact of visual and cognitive distractions on the driver's mental workload, eye movements, and driving behaviour when driving in advanced warning areas of the maintenance work zones. Thirty-two participants (mean age = 23.97 years) participated in the experiment and completed 3 advanced warning area simulation scenes. The road initial speed limit of simulation scenes was different: 60 km/h, 80 km/h and 100 km/h. The drivers needed to pass three scenes under three types of distraction tasks (no task, visual task and cognitive task). Six indices were used to evaluate the effect of the advanced warning area and the distracting secondary tasks on the driver's mental workload: two related to eye movements, two related to driver behavior, and two related to the electroencephalogram. The TOPSIS analysis was used to solve the problem of multi-evaluation indices comparison, sorting and selection. The results show that the driver has higher vehicle control ability under the distraction-free task condition than in other scenes. Furthermore, the impact of visual distraction on drivers is more significant than that of cognitive distraction, suggesting more visual attention is required for drivers when passing the complex working zone.

Keyword :

Advanced warning area Advanced warning area Distraction tasks Distraction tasks Driver behavior Driver behavior Driver workload Driver workload Electroencephalogram Electroencephalogram Work zone Work zone

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GB/T 7714 Yang, Yanqun , Ye, Zhanghong , Easa, Said M. et al. Effect of driving distractions on driver mental workload in work zone's warning area [J]. | TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR , 2023 , 95 : 112-128 .
MLA Yang, Yanqun et al. "Effect of driving distractions on driver mental workload in work zone's warning area" . | TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR 95 (2023) : 112-128 .
APA Yang, Yanqun , Ye, Zhanghong , Easa, Said M. , Feng, Yang , Zheng, Xinyi . Effect of driving distractions on driver mental workload in work zone's warning area . | TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR , 2023 , 95 , 112-128 .
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恐惧影响驾驶视觉搜索时间窗的眼动证据
期刊论文 | 2023 , 29 (3) , 52-59,65 | 人类工效学
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目的 研究旨在探索恐惧情绪对驾驶视觉搜索模式的影响.方法 采用比较恐惧情绪组和中性情绪组对三种不同呈现方式的实验材料中交通元素刺激物的判定反应和眼动追踪的方法.结果 判定反应时间在实验材料呈现方式中存在显著差异,原始交通场景图的判定时间最快;眼动数据结果发现,恐惧组相对于控制组,视觉眼动更倾向于聚集在刺激的中间.结论 驾驶视觉搜索图式确实存在,恐惧导致驾驶视觉搜索更加窄化,并且存在驾驶搜索模式的刺激启动效应.

Keyword :

上下文预期 上下文预期 快速场景识别 快速场景识别 恐惧 恐惧 眼动 眼动 驾驶搜索图式 驾驶搜索图式

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GB/T 7714 郑新夷 , 苏应竑 . 恐惧影响驾驶视觉搜索时间窗的眼动证据 [J]. | 人类工效学 , 2023 , 29 (3) : 52-59,65 .
MLA 郑新夷 et al. "恐惧影响驾驶视觉搜索时间窗的眼动证据" . | 人类工效学 29 . 3 (2023) : 52-59,65 .
APA 郑新夷 , 苏应竑 . 恐惧影响驾驶视觉搜索时间窗的眼动证据 . | 人类工效学 , 2023 , 29 (3) , 52-59,65 .
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我国自动驾驶汽车的使用意愿探究
期刊论文 | 2023 , 37 (02) , 133-143 | 福州大学学报(哲学社会科学版)
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自动驾驶汽车时代渐行渐近,囿于公众对自动驾驶技术知识的缺乏以及大众媒体的过度宣传,我国民众对其接受程度和使用意愿存在一定的偏差。影响接受程度和使用意愿的因素较为复杂,以下两项系列研究可见一斑。研究一:分析民众对“北京率先放开自动驾驶主驾无人许可”事件的态度,采用爬虫软件采集2 806条评论,并通过文本分析网络评论的情感特征以及提炼评论的主题要素。研究二:依据“技术接受模型”理论,获取有效问卷379份,把研究一采集到的主题要素纳入模型中,构建自动驾驶汽车使用意愿的结构方程模型。研究一结果发现,民众对自动驾驶汽车极端积极评论是极端消极评论的2倍;研究二结果发现,驾驶员用户和非驾驶员用户对自动驾驶使用意愿的结构要素存在显著差异:驾驶员用户更关注驾驶隐私和法律问题;而非驾驶员用户更关注感知到的自动驾驶有用性。

Keyword :

使用意愿 使用意愿 技术接受度模型 技术接受度模型 文本分析 文本分析 自动驾驶汽车 自动驾驶汽车

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GB/T 7714 郑新夷 , 倪正山 , 林依婷 . 我国自动驾驶汽车的使用意愿探究 [J]. | 福州大学学报(哲学社会科学版) , 2023 , 37 (02) : 133-143 .
MLA 郑新夷 et al. "我国自动驾驶汽车的使用意愿探究" . | 福州大学学报(哲学社会科学版) 37 . 02 (2023) : 133-143 .
APA 郑新夷 , 倪正山 , 林依婷 . 我国自动驾驶汽车的使用意愿探究 . | 福州大学学报(哲学社会科学版) , 2023 , 37 (02) , 133-143 .
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