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 …
traffic safety. The research focus on DWL has undergone certain shifts with the rapid …
[HTML][HTML] Evaluating driver cognitive distraction by eye tracking: From simulator to driving
Driver cognitive distraction, a critical factor for road safety, is challenging for researchers to
evaluate, especially under real conditions. This paper introduces a novel method for …
evaluate, especially under real conditions. This paper introduces a novel method for …
Generalisable machine learning models trained on heart rate variability data to predict mental fatigue
A prolonged period of cognitive performance often leads to mental fatigue, a
psychobiological state that increases the risk of injury and accidents. Previous studies have …
psychobiological state that increases the risk of injury and accidents. Previous studies have …
Machine learning models in Heart Rate Variability based mental fatigue prediction: training on heterogeneous data to obtain robust models
Prolonged period of cognitive performance often leads to mental fatigue, a psychobiological
state that increases the risk of injury and accidents. Previous studies trained machine …
state that increases the risk of injury and accidents. Previous studies trained machine …
A Systematic Review on the Influence Factors, Measurement, and Impact Effect of Driver Workload
J Ma, Y Wu, J Rong, X Zhao - Measurement, and Impact Effect of Driver … - papers.ssrn.com
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 …
traffic safety. The research focus on DWL has undergone certain shifts with the rapid …