Modeling the car-following behavior with consideration of driver, vehicle, and environment factors: A historical review
J Han, X Wang, G Wang - Sustainability, 2022 - mdpi.com
Car-following behavior is the result of the interaction of various elements in the specific
driver-vehicle-environment aggregation. Under the intelligent and connected condition, the …
driver-vehicle-environment aggregation. Under the intelligent and connected condition, the …
Visuomotor control, eye movements, and steering: A unified approach for incorporating feedback, feedforward, and internal models.
The authors present an approach to the coordination of eye movements and locomotion in
naturalistic steering tasks. It is based on recent empirical research, in particular, on driver …
naturalistic steering tasks. It is based on recent empirical research, in particular, on driver …
Getting back into the loop: the perceptual-motor determinants of successful transitions out of automated driving
Objective: To present a structured, narrative review highlighting research into human
perceptual-motor coordination that can be applied to automated vehicle (AV)–human …
perceptual-motor coordination that can be applied to automated vehicle (AV)–human …
A review of occlusion as a tool to assess attentional demand in driving
Objective The aim of this review is to identify how visual occlusion contributes to our
understanding of attentional demand and spare visual capacity in driving and the strengths …
understanding of attentional demand and spare visual capacity in driving and the strengths …
Do drivers change their manual car-following behaviour after automated car-following?
T Louw, R Goncalves, G Torrao… - Cognition, Technology & …, 2021 - Springer
There is evidence that drivers' behaviour adapts after using different advanced driving
assistance systems. For instance, drivers' headway during car-following reduces after using …
assistance systems. For instance, drivers' headway during car-following reduces after using …
Resolving uncertainty on the fly: modeling adaptive driving behavior as active inference
Understanding adaptive human driving behavior, in particular how drivers manage
uncertainty, is of key importance for developing simulated human driver models that can be …
uncertainty, is of key importance for developing simulated human driver models that can be …
[HTML][HTML] Characterisation of motorway driving style using naturalistic driving data
TH Itkonen, E Lehtonen - … research part F: traffic psychology and …, 2020 - Elsevier
The study of measurable differences between drivers has ramifications for several sub-fields
in traffic and transportation research. Better understanding of the variability in individual …
in traffic and transportation research. Better understanding of the variability in individual …
Exploring the self-regulation of secondary task engagement in the context of partially automated driving: A pilot study
During partially automated driving (level 2 in SAE, 2014), an increase in drivers'
engagement in secondary tasks was observed even though drivers still need to monitor the …
engagement in secondary tasks was observed even though drivers still need to monitor the …
Humans use predictive gaze strategies to target waypoints for steering
A major unresolved question in understanding visually guided locomotion in humans is
whether actions are driven solely by the immediately available optical information (model …
whether actions are driven solely by the immediately available optical information (model …
A computational model for driver's cognitive state, visual perception and intermittent attention in a distracted car following task
We present a computational model of intermittent visual sampling and locomotor control in a
simple yet representative task of a car driver following another vehicle. The model has a …
simple yet representative task of a car driver following another vehicle. The model has a …