[HTML][HTML] Structural analysis of driver fatigue behavior: a systematic review
H Zhang, D Ni, N Ding, Y Sun, Q Zhang, X Li - Transportation research …, 2023 - Elsevier
Fatigue is always accompany with the driving task, which have been extensively
investigated for driver monitoring and traffic safety. While many scholars dedicate to the …
investigated for driver monitoring and traffic safety. While many scholars dedicate to the …
End-to-end driving activities and secondary tasks recognition using deep convolutional neural network and transfer learning
Drivers' decision and their corresponding behaviors are important aspects that can affect the
driving safety, and it is necessary to understand the driver behaviors in real-time. In this …
driving safety, and it is necessary to understand the driver behaviors in real-time. In this …
Monitoring Driving in a Monotonous Environment: Classification and Recognition of Driving Fatigue Based on Long Short‐Term Memory Network
H Han, K Li, Y Li - Journal of advanced transportation, 2022 - Wiley Online Library
The driver is one of the most important factors in road traffic. Monitoring the driver's driving
status can greatly improve the safety and road operation efficiency of urban road traffic in the …
status can greatly improve the safety and road operation efficiency of urban road traffic in the …
Bicycling during alcohol intoxication
J Andersson, C Patten, H Wallén Warner… - Traffic safety …, 2023 - diva-portal.org
The number of bicycling fatalities was 19450 between 2010 and 2018 in Europe. The
number of bicyclists killed when intoxicated by alcohol is harder to establish given the lack of …
number of bicyclists killed when intoxicated by alcohol is harder to establish given the lack of …
[HTML][HTML] 基于多源数据的特长隧道驾驶疲劳模型
尚婷， 连冠， 黄龙显， 谢磊 - 交通信息与安全, 2024 - natural.jtxa.net
为研究驾驶人在特长隧道内驾驶疲劳演变过程及其影响因素, 基于实车试验采集的多源数据,
对特长隧道内驾驶疲劳分类判别以及驾驶疲劳影响因素关系模型展开了研究 …
对特长隧道内驾驶疲劳分类判别以及驾驶疲劳影响因素关系模型展开了研究 …
Driver drowsiness detection through a vehicle's active probe action
S Yang, J Xi, W Wang - 2019 IEEE 2nd Connected and …, 2019 - ieeexplore.ieee.org
Drowsy driving is one of the major causes of traffic collisions, injuries, and fatalities. Existing
literature primarily detects driver drowsiness by passively monitoring lanes, steering angles …
literature primarily detects driver drowsiness by passively monitoring lanes, steering angles …
考虑行车安全事件严重程度和个体差异的驾驶行为风险评估
张晖， 刘永杰， 吴超仲， 丁乃侃， 张琦， 肖逸影 - 中国安全科学学报, 2023 - cssjj.com.cn
为解决驾驶行为风险评估方法存在事件危险程度度量缺失及个体行为习惯考虑不足的问题,
采集15 位被试的自然驾驶试验数据, 通过配对T 检验和具有噪声的基于密度的聚类方法 …
采集15 位被试的自然驾驶试验数据, 通过配对T 检验和具有噪声的基于密度的聚类方法 …
Driver sleepiness detection algorithm based on relevance vector machine
L Wei, T Feng, P Zhao, M Liao - The Baltic Journal of Road and …, 2021 - bjrbe-journals.rtu.lv
Driver sleepiness is one of the most important causes of traffic accidents. Efficient and stable
algorithms are crucial for distinguishing nonfatigue from fatigue state. Relevance vector …
algorithms are crucial for distinguishing nonfatigue from fatigue state. Relevance vector …
The importance of individual characteristics on bicycle performance during alcohol intoxication
C Andersérs, J Andersson, HW Warner - Traffic safety research, 2024 - tsr.international
Bicycling accidents are a well-known problem for traffic safety globally. Alcohol intoxication
is one possible factor, although the exact number of accidents due to intoxication is difficult …
is one possible factor, although the exact number of accidents due to intoxication is difficult …
[HTML][HTML] Research on key parameters of the Fatigue Arousal Zone in extra-long tunnels based on natural driving experiments
T Shang, G Lian, L Xie, A Zhou - Digital Transportation and Safety, 2023 - maxapress.com
To effectively mitigate the short-term fatigue effects of driving in extra-long tunnels, this study
conducted natural driving experiments in five extra-long tunnels of varying lengths and …
conducted natural driving experiments in five extra-long tunnels of varying lengths and …