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学者姓名：郑新夷
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The entrance zones of highway tunnels present a visually complex environment, often requiring multiple traffic signs to ensure driving safety. However, excessive information or improperly positioned traffic signs may cause cognitive overload, hinder their ability to adapt to changing driving conditions and compromise traffic safety. This study aims to assess the effect of traffic signs information supply speed (TSISS), which considers factors such as traffic sign information (TSI), combined installation and spacing of traffic signs, and speed limits on the road, on driving performance and CL. The study collected four types of performance data: eye movement, electroencephalogram (EEG), driving behavior, and subjective cognitive load (SCL). A driving simulator experiment used six TSISSs at the highway tunnel entrance zone: 0.333, 0.400, 0.500, 0.600, 0.667, and 0.833 items/s. An "item" is an independent directive or command of traffic signs. The results showed that as the TSISS increased, pupil area, scan rate, theta wave absolute power, longitudinal acceleration, steering wheel angle, and SCL significantly increased. In contrast, blink frequency, alpha wave absolute power, and vehicle longitudinal speed decreased. When the TSISS did not exceed 0.600 items/s, the efficiency values calculated by the data envelopment analysis model were high (more than 0.950). However, when the TSISS exceeded 0.600 items/s, the efficiency significantly decreased (below 0.850). Based on these findings, 0.600 items/s is recommended as the optimal threshold for TSISS at highway tunnel entrances. These findings can help evaluate the rationality and effectiveness of traffic sign placement at tunnel entrances, providing essential theoretical bases and practical guidelines for optimizing the overall design of highway traffic signs.
Keyword ：
Cognitive Load Cognitive Load Data Envelopment Analysis Data Envelopment Analysis Driving Simulator Driving Simulator Traffic Signs Information Supply Speed Traffic Signs Information Supply Speed Tunnel Entrance Zone Tunnel Entrance Zone
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| GB/T 7714 | Yang, Yanqun , Wu, Xinli , Yin, Danni et al. Effect of Traffic Sign's Information Supply Speed on Driver Performance at Tunnel Entrances [J]. | TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR , 2025 , 111 : 217-237 . |
| MLA | Yang, Yanqun et al. "Effect of Traffic Sign's Information Supply Speed on Driver Performance at Tunnel Entrances" . | TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR 111 (2025) : 217-237 . |
| APA | Yang, Yanqun , Wu, Xinli , Yin, Danni , Easa, Said M. , Zheng, Xinyi . Effect of Traffic Sign's Information Supply Speed on Driver Performance at Tunnel Entrances . | TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR , 2025 , 111 , 217-237 . |
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目的 本研究探讨自动驾驶信任、非驾驶任务及其交互作用对接管反应时、疲劳度和认知负荷的影响.方法 48名大学生参与实验,采用2×3的混合实验设计,通过E-Prime软件进行测试.研究使用自动驾驶信任态度量表、KSS量表和NASA-TLX量表.结果 非驾驶任务类型显著影响接管反应时、认知负荷和疲劳度,而自动驾驶信任水平显著提高了认知负荷.结论 本研究揭示了非驾驶任务对接管行为的干扰及过度信任的危害,为优化自动驾驶系统接管性能提供了参考.
Keyword ：
e-prime e-prime 自动驾驶信任 自动驾驶信任 自动驾驶接管 自动驾驶接管 认知负荷 认知负荷 非驾驶任务 非驾驶任务 驾驶疲劳 驾驶疲劳
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| GB/T 7714 | 施灿宇 , 苏应竑 , 郑新夷 . 自动驾驶信任与非驾驶任务对接管反应的影响 [J]. | 人类工效学 , 2025 , 31 (1) : 44-49 . |
| MLA | 施灿宇 et al. "自动驾驶信任与非驾驶任务对接管反应的影响" . | 人类工效学 31 . 1 (2025) : 44-49 . |
| APA | 施灿宇 , 苏应竑 , 郑新夷 . 自动驾驶信任与非驾驶任务对接管反应的影响 . | 人类工效学 , 2025 , 31 (1) , 44-49 . |
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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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Objective: This paper aimed to develop a hazard prediction test and enhance two-wheeled electric vehicle (TWEV) riders' hazard perception and prediction capabilities via interventions by executing two distinct studies. Study 1 aimed to develop and validate a hazard prediction test. Study 2 evaluated the efficacy of two interventions, self-commentary and what happens next (WHN), integrating expert commentary. Method: For Study 1, a video-based hazard prediction test was developed through video recording and clipping, with participants categorized into high and low prediction ability groups for experimentation. Data analysis employed the receiver operating characteristic (ROC) curve. Study 2 categorized participants into four groups: self-commentary with licenses (SCL), self-commentary without licenses (SCNL), WHN with licenses (WHNL), and WHN without licenses (WHNNL), for conducting a one-week intervention experiment. Data collected from participants' pre-intervention, post-intervention, and aftereffect tests were subjected to repeated measures analysis of variance (ANOVA). Results: Analysis of the ROC curve indicated the test can distinguish the riders with different hazard prediction levels. ANOVA results demonstrated that the measurement time had a significant positive effect on scores (p < 0.001). Both interventions significantly improved hazard prediction ability (p < 0.05), and the effect persisted one week after administration. The effect of the WHN intervention was significantly greater than the self-commentary method across all time points. Conclusion: The hazard prediction test developed in this study could assess riders' hazard prediction ability, with the identified interventions demonstrating effectiveness in enhancing this ability. These findings suggested potential application in future qualification tests for TWEV riders, contributing to enhanced traffic safety awareness among TWEV riders in China, thus advancing overall traffic safety.
Keyword ：
hazard prediction test hazard prediction test intervention intervention riders riders self-commentary self-commentary Two-wheeled electric vehicle Two-wheeled electric vehicle What happens next What happens next
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| GB/T 7714 | Yang, Yanqun , Wu, Xinli , Feng, Yang et al. Development of hazard prediction test and interventions for two-wheeled electric vehicle riders in China [J]. | TRAFFIC INJURY PREVENTION , 2024 , 26 (3) : 325-334 . |
| MLA | Yang, Yanqun et al. "Development of hazard prediction test and interventions for two-wheeled electric vehicle riders in China" . | TRAFFIC INJURY PREVENTION 26 . 3 (2024) : 325-334 . |
| APA | Yang, Yanqun , Wu, Xinli , Feng, Yang , Easa, Said M. , Zheng, Xinyi . Development of hazard prediction test and interventions for two-wheeled electric vehicle riders in China . | TRAFFIC INJURY PREVENTION , 2024 , 26 (3) , 325-334 . |
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Space membrane structures are distinguished by their low surface density, reduced rigidity, and lightweight nature. Yet, they face numerous dynamic challenges in orbital functioning, highlighting the prominent vibration issue in these membrane antenna designs. This study conducts a numerical simulation of thin-film antenna architecture using Abaqus to examine how film thickness, prestress, and various elements influence the structure's dynamic behavior. Findings indicate that film thickness primarily influences the mass matrix, while prestress impacts the stiffness matrix. Improving the matrices for mass and stiffness reduces the displacement of the mid-point, leading to a more consistent and efficient dynamic reaction of the structure in handling vibrations. The research in this paper provides an important reference for vibration control and performance optimization of thin-film antenna structures. © 2024 SPIE.
Keyword ：
Light weight structures Light weight structures Membrane structures Membrane structures Vibration analysis Vibration analysis
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| GB/T 7714 | Xu, Yulin , Zheng, Xinyi . Research on the influencing factors of nonlinear dynamics in membrane antenna structures [C] . 2024 . |
| MLA | Xu, Yulin et al. "Research on the influencing factors of nonlinear dynamics in membrane antenna structures" . (2024) . |
| APA | Xu, Yulin , Zheng, Xinyi . Research on the influencing factors of nonlinear dynamics in membrane antenna structures . (2024) . |
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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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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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Expressway exit areas experience traffic diversion and complex road conditions, making them accident-prone areas. In this study, transverse and fishbone visual illusion deceleration markings were selected to optimize the induction facilities at expressway exits. The research aims to investigate the impact of these markings on the driving behavior, cognitive load, and physiological characteristics of drivers in various distracted scenarios at expressway exit areas. Furthermore, a comprehensive evaluation of each experimental scheme is conducted using the Matter-Element Extension Model. The study found that the implementation of deceleration markings can effectively enhance driver alertness and lane change awareness, enabling drivers to reduce their speed to near the speed limit in exit areas without compromising driving comfort. Compared to the situation without markings, drivers begin to decelerate approximately 600 m earlier and exit the ramp when markings are present. Fishbone deceleration markings, in contrast to transverse markings, result in lower vehicle speeds, smoother deceleration, and more effectively stimulate drivers' intention to change lanes, guiding them to make the final lane change earlier. Based on the comprehensive evaluation results, it is recommended that transverse or fishbone deceleration markings be considered in engineering practice. These markings have not produced significant effects on driver visual fatigue and driving load, with fishbone markings demonstrating superior comprehensive evaluation outcomes. These research findings can provide valuable insights for future expressway exit area marking design schemes, further enhancing driver safety.
Keyword ：
Deceleration marking Deceleration marking Distracted driver Distracted driver Driving simulation Driving simulation Electroencephalogram data Electroencephalogram data Expressway exit Expressway exit Eye movement Eye movement
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| GB/T 7714 | Yang, Yanqun , Li, Mingtao , Easa, Said M. et al. Effect of expressway exit deceleration markings on distracted drivers in China [J]. | HELIYON , 2024 , 10 (17) . |
| MLA | Yang, Yanqun et al. "Effect of expressway exit deceleration markings on distracted drivers in China" . | HELIYON 10 . 17 (2024) . |
| APA | Yang, Yanqun , Li, Mingtao , Easa, Said M. , Lin, Jie , Zheng, Xinyi . Effect of expressway exit deceleration markings on distracted drivers in China . | HELIYON , 2024 , 10 (17) . |
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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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The continuous growth of automobile ownership and road mileage in China has brought a lot of road maintenance work. The work zone shall be set for road maintenance work. Due to the road characteristics near the work zone, more accidents and a higher accident risk exist. Traffic signs are one of the essential means to ensure traffic safety. The location and number of road work signs (sign level) play a crucial role in driver safety near the work zone. The repeated road work signs can form a warning system to regulate driver behavior. This paper evaluates the effect of the number of warning signs with and without distance information on driver behavior (psychological load and physiological characteristics) near the work zone. The matter-element extension model is used for comprehensive evaluation. The study resulted in several findings. First, adding distance information improves the difficulty and time of visual recognition and enhances driver alertness. On the other hand, too many road signs are not conducive to maintaining driver alertness. Second, distance information on the work signs and the repeated setting of road warning signs add extra burden on the driver and increase driver fatigue. Third, driver's response to the repeated road work signs will gradually become stable; The speed transition under the warning signs Levels 2 and 3 are more stable than that under the warning sign Levels 1 and 4. Finally, the warning sign level shall not be more than 3. If the advanced warning area is short, it is recommended to select a warning sign Level 1. If the advanced warning area is relatively long, it is recommended to choose a warning sign Level 2. Finally, adding distance information will improve the overall effect of the warning scheme. These findings can provide a valuable reference for setting the road work signs near the work zone in practice in China.
Keyword ：
Distance information Distance information Driving safety Driving safety Matter-element extension model Matter-element extension model Road work sign Road work sign Warning sign number Warning sign number Work zone Work zone
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| GB/T 7714 | Yang, Yanqun , Liu, Xianhui , Easa, Said M. et al. Effect of distance information and number of warning signs on driving safety of young adults near road work zones in China [J]. | ACCIDENT ANALYSIS AND PREVENTION , 2023 , 192 . |
| MLA | Yang, Yanqun et al. "Effect of distance information and number of warning signs on driving safety of young adults near road work zones in China" . | ACCIDENT ANALYSIS AND PREVENTION 192 (2023) . |
| APA | Yang, Yanqun , Liu, Xianhui , Easa, Said M. , Feng, Yang , Zheng, Xinyi . Effect of distance information and number of warning signs on driving safety of young adults near road work zones in China . | ACCIDENT ANALYSIS AND PREVENTION , 2023 , 192 . |
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