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学者姓名:杨艳群
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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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As the primary setting for students' daily life and learning, university campuses are facing a growing concern about the impact of increased stress on students' emotional well-being. The sound environment plays a critical role in affecting students' mental health, learning efficiency, and overall well-being. However, research on the influence of campus soundscapes on students' emotions is limited, and the mechanisms behind these effects remain to be explored. This study, using the Qishan Campus of Fuzhou University as a case, investigates the impact of campus soundscapes on students' emotional perception and restorative effects. Four typical functional areas (academic zone (ACZ), residential zone (RDZ), recreational zone (RCZ), and administrative zone (ADZ)) were selected to analyze the effects of natural and artificial sounds on students' emotions and physiological states. Based on EEG, eye tracking, sound level measurements, and questionnaire surveys, a one-way repeated measures ANOVA was used to assess students' emotional arousal, valence, and physiological restoration under different soundscape conditions. The results showed that natural sounds, such as the sound of wind-blown leaves and flowing water, significantly improved students' emotions and restorative effects, while artificial noises like construction sounds and traffic noise had negative impacts. Additionally, subjective perceptions of soundscape restoration were positively correlated with arousal, valence, and acoustic comfort, and negatively correlated with gaze frequency and pupil size. The findings provide a theoretical foundation for optimizing campus soundscape design and highlight the importance of natural sounds in enhancing students' mental health and academic environment.
Keyword :
campus landscape campus landscape emotional perception emotional perception perceptual measure perceptual measure restorative environment restorative environment soundscape soundscape
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GB/T 7714 | Liang, Qing , Lin, Shucan , Wang, Linwei et al. The Impact of Campus Soundscape on Enhancing Student Emotional Well-Being: A Case Study of Fuzhou University [J]. | BUILDINGS , 2025 , 15 (1) . |
MLA | Liang, Qing et al. "The Impact of Campus Soundscape on Enhancing Student Emotional Well-Being: A Case Study of Fuzhou University" . | BUILDINGS 15 . 1 (2025) . |
APA | Liang, Qing , Lin, Shucan , Wang, Linwei , Yang, Fanghuan , Yang, Yanqun . The Impact of Campus Soundscape on Enhancing Student Emotional Well-Being: A Case Study of Fuzhou University . | BUILDINGS , 2025 , 15 (1) . |
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With the rapid increase in the number of two-wheeled electric vehicles, the number of accidents related to them has also greatly increased. However, despite facing a huge threat from accidents, the helmet, an efficient and legally required protection for riders, is not popular with Chinese two-wheeled electric vehicles riders. To study the factors affecting helmet use for these riders, this paper conducted an observational study to collect helmet use data for 16,207 two-wheeled electric vehicle riders in Fuzhou, China. With these data, this paper built a multivariate logistic regression model to study the main effects of various factors on helmet use, and analyze the interaction effects of these factors. Results showed that, on the one hand, area, weather, temperature, controller, separated non-motor-vehicle lanes, time, rider's age, and type of vehicle had significant effects on helmet use and the interaction between these factors is significant, especially the interaction between weather, temperature and other factors. On the other hand, level of service, gender and whether the riders are food delivery workers have no significant impact on helmet use, but show significant interaction effects with other factors.
Keyword :
helmet use helmet use multivariate logistic regression model multivariate logistic regression model observational study observational study two-wheeled electric vehicles riders two-wheeled electric vehicles riders
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GB/T 7714 | Lin, Wenhan , Li, Congying , Zheng, Weibin et al. Riding Risk: Factors Shaping Helmet Use Among Two-Wheeled Electric Vehicle Riders in Fuzhou, China [J]. | SYSTEMS , 2025 , 13 (3) . |
MLA | Lin, Wenhan et al. "Riding Risk: Factors Shaping Helmet Use Among Two-Wheeled Electric Vehicle Riders in Fuzhou, China" . | SYSTEMS 13 . 3 (2025) . |
APA | Lin, Wenhan , Li, Congying , Zheng, Weibin , Wang, Linwei , Yang, Yanqun . Riding Risk: Factors Shaping Helmet Use Among Two-Wheeled Electric Vehicle Riders in Fuzhou, China . | SYSTEMS , 2025 , 13 (3) . |
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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 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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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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With the rapid increase in electric bicycle (e-bikes) use, the rate of associated traffic accidents has also escalated. Prior studies have extensively examined e-bike riders’ injury risks, yet there is a limited understanding of how their behavior contributes to these accidents. This study aims to explore the relationship between e-bike riders’ risk-taking behaviors and the incidence of traffic accidents, and to propose targeted safety measures based on these insights. Utilizing a mixed-methods approach, this research integrates quantitative data from traffic accident reports and qualitative observations from naturalistic studies. The study employs a binary logistic regression model to analyze risk factors and uses observational data to substantiate the model findings. The analysis reveals that assertive driving behaviors among e-bike riders, such as running red lights and speeding, significantly contribute to the high rate of accidents. Moreover, the lack of protective gear and inadequate safety training are identified as critical factors increasing the risk of severe injuries. The study concludes that comprehensive policy interventions, including stricter enforcement of traffic laws and mandatory safety training for e-bike riders, are essential to mitigate the risks associated with e-bike use. The findings advocate for an integrated approach to urban traffic management that enhances the safety of all road users, particularly vulnerable e-bike riders. © 2024 by author(s).
Keyword :
e-bikes e-bikes epidemiological studies epidemiological studies logit model logit model natural observation natural observation riding safety riding safety risk-taking behavior risk-taking behavior
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GB/T 7714 | Yang, Y. , Tian, H. , Feng, Y. et al. Risk-taking behavior of electric cyclists and policy recommendations: A case study [J]. | Journal of Infrastructure, Policy and Development , 2024 , 8 (11) . |
MLA | Yang, Y. et al. "Risk-taking behavior of electric cyclists and policy recommendations: A case study" . | Journal of Infrastructure, Policy and Development 8 . 11 (2024) . |
APA | Yang, Y. , Tian, H. , Feng, Y. , Easa, S.M. , Zheng, X. . Risk-taking behavior of electric cyclists and policy recommendations: A case study . | Journal of Infrastructure, Policy and Development , 2024 , 8 (11) . |
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高速公路指路标志为驾驶人提供路径信息,是帮助驾驶人到达目的地的重要交通基础设施.本文在京港澳高速路段开展实车实验,采集驾驶人的驾驶行为和眼动数据,探究其寻路行为.实验结果分析表明,指路标志的位置、信息数量、指向数量、信息内容会影响驾驶人寻路,并且通过驾驶人的驾驶行为和眼动变化表征.
Keyword :
交通工程 交通工程 寻路行为 寻路行为 眼动 眼动 驾驶行为 驾驶行为
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GB/T 7714 | 史志卫 , 杨艳群 . 基于驾驶行为和眼动的高速公路寻路行为探究 [J]. | 中国公路 , 2024 , (14) : 114-116 . |
MLA | 史志卫 et al. "基于驾驶行为和眼动的高速公路寻路行为探究" . | 中国公路 14 (2024) : 114-116 . |
APA | 史志卫 , 杨艳群 . 基于驾驶行为和眼动的高速公路寻路行为探究 . | 中国公路 , 2024 , (14) , 114-116 . |
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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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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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