A systematic review on the influence factors, measurement, and effect of driver workload

J Ma, Y Wu, J Rong, X Zhao - Accident Analysis & Prevention, 2023 - Elsevier
Driver workload (DWL) is an important factor that needs to be considered in the study of
traffic safety. The research focus on DWL has undergone certain shifts with the rapid …

[HTML][HTML] A Real-Time Detection of Pilot Workload Using Low-Interference Devices

Y Liu, Y Gao, L Yue, H Zhang, J Sun, X Wu - Applied Sciences, 2024 - mdpi.com
Excessive pilot workload is one of the significant causes of flight accidents. The detection of
flight workload can help optimize aircraft crew operation procedures, improve cockpit human …

Comprehensive evaluation of freeway driving risks based on fuzzy logic

L Xie, J Zhang, R Cheng - Sustainability, 2023 - mdpi.com
The quantitative evaluation of driving risk is a crucial prerequisite for intelligent vehicle
accident warning, and it is necessary to predict it comprehensively and accurately …

Understanding drivers' visual and comprehension loads in traffic violation hotspots leveraging crowd-based driving simulation

Z Jiang, X He, C Lu, B Zhou, X Fan… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Traffic violations have become one of the major threats to urban transportation systems,
undermining road safety and causing economic losses. Although various methods have …

PsiNet: Toward Understanding the Design of Brain-to-Brain Interfaces for Augmenting Inter-Brain Synchrony

N Semertzidis, MJ Vranic-Peters, XZ Fang… - Proceedings of the CHI …, 2024 - dl.acm.org
Underlying humanity's social abilities is the brain's capacity to interpersonally synchronize.
Experimental, lab-based neuropsychological studies have demonstrated that inter-brain …

A neuroergonomics approach to investigate the mental workload of drivers in real driving settings

H Atici-Ulusu, O Taskapilioglu, T Gunduz - Transportation research part F …, 2024 - Elsevier
The safety and performance of automobile drivers depend on many factors. The mental
status of the drivers is the foremost factor in ensuring driving safety, in addition to physical …

Harnessing Electrocardiography Signals for Driver State Classification Using Multi-layered Neural Networks

A Tjolleng, K Jung - International Journal of Automotive Technology, 2024 - Springer
Driving under conditions of cognitive overload or drowsiness poses serious safety risks and
is recognized as a major cause of vehicle collisions. Thus, timely detection of the driver's …

Let complexity bring clarity: a multidimensional assessment of cognitive load using physiological measures

EJ Nilsson, J Bärgman, M Ljung Aust… - Frontiers in …, 2022 - frontiersin.org
The effects of cognitive load on driver behavior and traffic safety are unclear and in need of
further investigation. Reliable measures of cognitive load for use in research and …

[PDF][PDF] Brain-Computer Integration.

NA Semertzidis - 2022 - exertiongameslab.org
Abstract Brain-Computer Interface (BCI) systems facilitate the flow of information between
brains and computers. These systems hold the potential to foster human flourishing and self …

Clustering of drivers' state before takeover situations based on physiological features using unsupervised machine learning

E de Salis, Q Meteier, C Pelletier, M Capallera… - … 27-29, 2021 and the 6th …, 2022 - Springer
Conditionally automated cars share the driving task with the driver. When the control
switches from one to another, accidents can occur, especially when the car emits a takeover …