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Effects of Level 3 Automated Vehicle Drivers’ Fatigue on Their Take-Over Behaviour: A Literature Review

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Outgoing claims: the papers this work cites, builds on, or argues with.

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How can humans understand their automated cars? HMI principles, problems and solutions
inferredcites →https://doi.org/10.1007/s10111-018-0524-9openalex-snapshot
Effect of prolonged periods of conditionally automated driving on the development of fatigue: with and without non-driving-related activities
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Visual Attention While Driving
inferredcites →https://doi.org/10.1016/j.aap.2009.06.007openalex-snapshot
Drivers’ misjudgement of vigilance state during prolonged monotonous daytime driving
inferredcites →https://doi.org/10.1016/j.aap.2011.09.046openalex-snapshot
Reliability of simulator driving tool for evaluation of sleepiness, fatigue and driving performance
inferredcites →https://doi.org/10.1016/j.aap.2015.09.002openalex-snapshot
Driver drowsiness detection based on non-intrusive metrics considering individual specifics
inferredcites →https://doi.org/10.1016/j.aap.2016.04.014openalex-snapshot
A cellular automaton simulation model for pedestrian and vehicle interaction behaviors at unsignalized mid-block crosswalks
inferredcites →https://doi.org/10.1016/j.aap.2017.04.017openalex-snapshot
Take-over performance in evasive manoeuvres
inferredcites →https://doi.org/10.1016/j.aap.2017.04.023openalex-snapshot
Stress-related psychosocial factors at work, fatigue, and risky driving behavior in bus rapid transport (BRT) drivers
inferredcites →https://doi.org/10.1016/j.aap.2017.09.019openalex-snapshot
Driver compliance to take-over requests with different auditory outputs in conditional automation
inferredcites →https://doi.org/10.1016/j.aap.2017.11.009openalex-snapshot
Modeling take-over performance in level 3 conditionally automated vehicles
inferredcites →https://doi.org/10.1016/j.aap.2017.11.033openalex-snapshot
Good distractions: Testing the effects of listening to an audiobook on driving performance in simple and complex road environments
inferredcites →https://doi.org/10.1016/j.aap.2018.03.013openalex-snapshot
Asleep at the automated wheel—Sleepiness and fatigue during highly automated driving
inferredcites →https://doi.org/10.1016/j.aap.2018.04.004openalex-snapshot
Dangerous intersections? A review of studies of fatigue and distraction in the automated vehicle
inferredcites →https://doi.org/10.1016/j.aap.2019.01.003openalex-snapshot
Pedestrian's risk-based negotiation model for self-driving vehicles to get the right of way
inferredcites →https://doi.org/10.1016/j.aap.2019.01.013openalex-snapshot
Effects of scheduled manual driving on drowsiness and response to take over request: A simulator study towards understanding drivers in automated driving
inferredcites →https://doi.org/10.1016/j.aap.2019.01.020openalex-snapshot
Temporal patterns of driving fatigue and driving performance among male taxi drivers in Hong Kong: A driving simulator approach
inferredcites →https://doi.org/10.1016/j.aap.2019.105354openalex-snapshot
Exploratory analysis of automated vehicle crashes in California: A text analytics & hierarchical Bayesian heterogeneity-based approach
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What happens when drivers of automated vehicles take over control in critical brake situations?
inferredcites →https://doi.org/10.1016/j.aap.2020.105883openalex-snapshot
Effects of a seat-integrated mobilization system during passive driver fatigue
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The effects of driver fatigue, gender, and distracted driving on perceived and observed aggressive driving behavior: A correlated grouped random parameters bivariate probit approach
inferredcites →https://doi.org/10.1016/j.apergo.2016.12.003openalex-snapshot
How much time do drivers need to obtain situation awareness? A laboratory-based study of automated driving
inferredcites →https://doi.org/10.1016/j.apergo.2017.07.006openalex-snapshot
Introduction matters: Manipulating trust in automation and reliance in automated driving
inferredcites →https://doi.org/10.1016/j.apergo.2017.11.010openalex-snapshot
Is partially automated driving a bad idea? Observations from an on-road study
inferredcites →https://doi.org/10.1016/j.apergo.2020.103074openalex-snapshot
Effects of cognitive and visual loads on driving performance after take-over request (TOR) in automated driving
inferredcites →https://doi.org/10.1016/j.clinph.2010.10.044openalex-snapshot
EEG alpha spindle measures as indicators of driver fatigue under real traffic conditions
inferredcites →https://doi.org/10.1016/j.eswa.2020.113204openalex-snapshot
Driver fatigue transition prediction in highly automated driving using physiological features
inferredcites →https://doi.org/10.1016/j.ijhcs.2020.102518openalex-snapshot
Manipulating music to communicate automation reliability in conditionally automated driving: A driving simulator study
inferredcites →https://doi.org/10.1016/j.jpsychores.2006.04.007openalex-snapshot
Simulator performance, microsleep episodes, and subjective sleepiness: normative data using convergent methodologies to assess driver drowsiness
inferredcites →https://doi.org/10.1016/j.jsr.2017.02.009openalex-snapshot
Assessing drivers' response during automated driver support system failures with non-driving tasks
inferredcites →https://doi.org/10.1016/j.jsr.2017.10.009openalex-snapshot
Fleet analysis of headway distance for autonomous driving
inferredcites →https://doi.org/10.1016/j.jsr.2017.12.007openalex-snapshot
The effect of fatigue driving on injury severity considering the endogeneity
inferredcites →https://doi.org/10.1016/j.jth.2019.100572openalex-snapshot
Fatigue and poor sleep are associated with driving risk among Korean occupational drivers
inferredcites →https://doi.org/10.1016/j.microrel.2018.02.002openalex-snapshot
A portable high-density absolute-measure NIRS imager for detecting prefrontal lobe activity under fatigue driving
inferredcites →https://doi.org/10.1016/j.molliq.2019.112182openalex-snapshot
Effect of CdSeS/ZnS quantum dot concentration on the electro-optical and dielectric properties of polymer stabilized liquid crystal
inferredcites →https://doi.org/10.1016/j.neuropsychologia.2019.04.004openalex-snapshot
Exploring the fatigue affecting electroencephalography based functional brain networks during real driving in young males
inferredcites →https://doi.org/10.1016/j.paid.2020.110083openalex-snapshot
Stress states, personality and cognitive functioning: A review of research with the Dundee Stress State Questionnaire
inferredcites →https://doi.org/10.1016/j.patcog.2013.05.009openalex-snapshot
A literature survey on robust and efficient eye localization in real-life scenarios
inferredcites →https://doi.org/10.1016/j.physbeh.2008.02.015openalex-snapshot
Driver fatigue and highway driving: A simulator study
inferredcites →https://doi.org/10.1016/j.promfg.2015.07.499openalex-snapshot
Vigilance Decrement and Passive Fatigue Caused by Monotony in Automated Driving
inferredcites →https://doi.org/10.1016/j.promfg.2015.07.847openalex-snapshot
Trust in Automation – Before and After the Experience of Take-over Scenarios in a Highly Automated Vehicle
inferredcites →https://doi.org/10.1016/j.tra.2015.04.003openalex-snapshot
Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations
inferredcites →https://doi.org/10.1016/j.tra.2017.02.003openalex-snapshot
Why do drivers continue driving while fatigued? An application of the theory of planned behaviour
inferredcites →https://doi.org/10.1016/j.trc.2018.02.012openalex-snapshot
Autonomous vehicle perception: The technology of today and tomorrow
inferredcites →https://doi.org/10.1016/j.trc.2018.11.018openalex-snapshot
The roles of initial trust and perceived risk in public’s acceptance of automated vehicles
inferredcites →https://doi.org/10.1016/j.trc.2018.12.003openalex-snapshot
What have we learned? A review of stated preference and choice studies on autonomous vehicles
inferredcites →https://doi.org/10.1016/j.trc.2020.01.006openalex-snapshot
Examining the effects of emotional valence and arousal on takeover performance in conditionally automated driving
inferredcites →https://doi.org/10.1016/j.trf.2004.09.008openalex-snapshot
The effect of alarm timing on driver behaviour: an investigation of differences in driver trust and response to alarms according to alarm timing
inferredcites →https://doi.org/10.1016/j.trf.2008.11.005openalex-snapshot
Driver fatigue: The importance of identifying causal factors of fatigue when considering detection and countermeasure technologies
inferredcites →https://doi.org/10.1016/j.trf.2016.06.017openalex-snapshot
The effect of fatigue driving on car following behavior
inferredcites →https://doi.org/10.1016/j.trf.2016.07.008openalex-snapshot
Electrophysiological evaluation of attention in drivers and passengers: Toward an understanding of drivers’ attentional state in autonomous vehicles
inferredcites →https://doi.org/10.1016/j.trf.2017.07.008openalex-snapshot
Why is steering not the same as braking? The impact of non-driving related tasks on lateral and longitudinal driver interventions during conditionally automated driving
inferredcites →https://doi.org/10.1016/j.trf.2018.03.019openalex-snapshot
Transitioning to manual driving requires additional time after automation deactivation
inferredcites →https://doi.org/10.1016/j.trf.2018.06.021openalex-snapshot
Effect of road geometry on driver fatigue in monotonous environments: A simulator study
inferredcites →https://doi.org/10.1016/j.trf.2018.11.016openalex-snapshot
Should I take over? Does system knowledge help drivers in making take-over decisions while driving a partially automated car?
inferredcites →https://doi.org/10.1016/j.trf.2019.06.008openalex-snapshot
Response times and gaze behavior of truck drivers in time critical conditional automated driving take-overs
inferredcites →https://doi.org/10.1016/j.trf.2019.08.023openalex-snapshot
Take-over requests during highly automated driving: How should they be presented and under what conditions?
inferredcites →https://doi.org/10.1016/j.trf.2020.05.013openalex-snapshot
Take over! A video-clip study measuring attention, situation awareness, and decision-making in the face of an impending hazard
inferredcites →https://doi.org/10.1016/j.trf.2020.10.003openalex-snapshot
The impact of auditory continual feedback on take-overs in Level 3 automated vehicles
inferredcites →https://doi.org/10.1016/s0167-8760(00)00185-9openalex-snapshot
Eye fixation related potentials in a proof reading task
inferredcites →https://doi.org/10.1016/s0301-0511(96)05223-4openalex-snapshot
Compensatory control in the regulation of human performance under stress and high workload: A cognitive-energetical framework
inferredcites →https://doi.org/10.1016/s1005-8885(16)60050-xopenalex-snapshot
Fatigue driving detection based on Haar feature and extreme learning machine
inferredcites →https://doi.org/10.1037/a0034386openalex-snapshot
Active and passive fatigue in simulated driving: Discriminating styles of workload regulation and their safety impacts.
inferredcites →https://doi.org/10.1049/iet-its.2019.0018openalex-snapshot
Long automated driving phase affects take‐over performance
inferredcites →https://doi.org/10.1080/14639220210123789openalex-snapshot
Attention and automation: New perspectives on mental underload and performance
inferredcites →https://doi.org/10.1080/1463922x.2017.1305465openalex-snapshot
Analysis of driver roles: modelling the changing role of the driver in automated driving systems using EAST
inferredcites →https://doi.org/10.1080/21577323.2016.1164765openalex-snapshot
Proposal of a Method to Predict Subjective Rating on Drowsiness Using Physiological and Behavioral Measures
inferredcites →https://doi.org/10.1109/access.2019.2937914openalex-snapshot
A WPCA-Based Method for Detecting Fatigue Driving From EEG-Based Internet of Vehicles System
inferredcites →https://doi.org/10.1109/access.2019.2951763openalex-snapshot
Automatic Vehicle-Pedestrian Conflict Identification With Trajectories of Road Users Extracted From Roadside LiDAR Sensors Using a Rule-Based Method
inferredcites →https://doi.org/10.1109/icmtma.2017.0031openalex-snapshot
Driver Drowsiness Detection Based on Time Series Analysis of Steering Wheel Angular Velocity
inferredcites →https://doi.org/10.1109/icnsc.2009.4919399openalex-snapshot
An on-board system for detecting driver drowsiness based on multi-sensor data fusion using Dempster-Shafer theory
inferredcites →https://doi.org/10.1109/itsc.2014.6957718openalex-snapshot
Driver fatigue surveillance via eye detection
inferredcites →https://doi.org/10.1109/itsc.2015.396openalex-snapshot
Emergency, Automation Off: Unstructured Transition Timing for Distracted Drivers of Automated Vehicles
inferredcites →https://doi.org/10.1109/itsc.2016.7795658openalex-snapshot
Drowsiness in Conditional Automation: Proneness, diagnosis and driving performance effects
inferredcites →https://doi.org/10.1109/itsc.2019.8917183openalex-snapshot
The Effect of Fatigue on Take-over Performance in Urgent Situations in Conditionally Automated Driving
inferredcites →https://doi.org/10.1109/ivs.2016.7535417openalex-snapshot
Driver drowsiness and behavior detection in prolonged conditionally automated drives
inferredcites →https://doi.org/10.1109/tits.2019.2901817openalex-snapshot
Autonomous Vehicles That Interact With Pedestrians: A Survey of Theory and Practice
inferredcites →https://doi.org/10.1109/tits.2020.2979527openalex-snapshot
Vision-Based Fatigue Driving Recognition Method Integrating Heart Rate and Facial Features
inferredcites →https://doi.org/10.1109/tvt.2016.2631604openalex-snapshot
Recent Trends in Driver Safety Monitoring Systems: State of the Art and Challenges
inferredcites →https://doi.org/10.1111/j.1365-2923.2011.04074.xopenalex-snapshot
Medicine for the wandering mind: mind wandering in medical practice
inferredcites →https://doi.org/10.1142/s0129065714500063openalex-snapshot
DETECTION OF DRIVING FATIGUE BY USING NONCONTACT EMG AND ECG SIGNALS MEASUREMENT SYSTEM
inferredcites →https://doi.org/10.1145/3349263.3351310openalex-snapshot
Supervising the self-driving car
inferredcites →https://doi.org/10.1177/0018720811423261openalex-snapshot
Fatigue and Voluntary Utilization of Automation in Simulated Driving
inferredcites →https://doi.org/10.1177/0018720815612319openalex-snapshot
Fully Automated Driving
inferredcites →https://doi.org/10.1177/0018720816634226openalex-snapshot
Taking Over Control From Highly Automated Vehicles in Complex Traffic Situations
inferredcites →https://doi.org/10.1177/0018720816685832openalex-snapshot
Takeover Time in Highly Automated Vehicles: Noncritical Transitions to and From Manual Control
inferredcites →https://doi.org/10.1177/0018720818816226openalex-snapshot
Effects of Task-Induced Fatigue in Prolonged Conditional Automated Driving
inferredcites →https://doi.org/10.1177/0018720818824002openalex-snapshot
Noncritical State Transitions During Conditionally Automated Driving on German Freeways: Effects of Non–Driving Related Tasks on Takeover Time and Takeover Quality
inferredcites →https://doi.org/10.1177/0018720819829572openalex-snapshot
Toward Computational Simulations of Behavior During Automated Driving Takeovers: A Review of the Empirical and Modeling Literatures
inferredcites →https://doi.org/10.1177/1541931213571433openalex-snapshot
“Take over!” How long does it take to get the driver back into the loop?
inferredcites →https://doi.org/10.1177/1541931214581435openalex-snapshot
Assessing drivers’ performance when automated driver support systems fail with different levels of automation
inferredcites →https://doi.org/10.1177/1541931218621379openalex-snapshot
A New Approach for a Real-Time Non-Invasive Fatigue Assessment System for Automated Driving
inferredcites →https://doi.org/10.1243/0954407011528536openalex-snapshot
Unobtrusive drowsiness detection by neural network learning of driver steering
inferredcites →https://doi.org/10.1371/journal.pone.0198206openalex-snapshot
The impairing effects of mental fatigue on response inhibition: An ERP study
inferredcites →https://doi.org/10.1371/journal.pone.0224966openalex-snapshot
Contingent negative variation during a modified cueing task in simulated driving
inferredcites →https://doi.org/10.17077/drivingassessment.1653openalex-snapshot
It’s Out of Our Hands Now! Effects of Non-Driving Related Tasks During Highly Automated Driving on Drivers’ Fatigue
inferredcites →https://doi.org/10.3109/00207459008994241openalex-snapshot
Subjective and Objective Sleepiness in the Active Individual
inferredcites →https://doi.org/10.3390/s16111805openalex-snapshot
Driver Distraction Using Visual-Based Sensors and Algorithms
inferredcites →https://doi.org/10.4018/ijmhci.2017070101openalex-snapshot
Using Multimodal Displays to Signify Critical Handovers of Control to Distracted Autonomous Car Drivers

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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inferred← citeshttps://doi.org/10.1016/j.trip.2024.101148openalex-snapshot
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inferred← citeshttps://doi.org/10.1080/00140139.2025.2606778openalex-snapshot
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inferred← citeshttps://doi.org/10.1080/00140139.2026.2662001openalex-snapshot
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inferred← citeshttps://doi.org/10.1080/10447318.2023.2228068openalex-snapshot
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inferred← citeshttps://doi.org/10.1080/10447318.2025.2605523openalex-snapshot
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inferred← citeshttps://doi.org/10.1080/15472450.2026.2707515openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/ojits.2025.3609629openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/thms.2026.3688755openalex-snapshot
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inferred← citeshttps://doi.org/10.1145/3744333.3747816openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/bs15070966openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/futuretransp4010015openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/safety9010011openalex-snapshot
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inferred← citeshttps://doi.org/10.36227/techrxiv.23807499openalex-snapshot
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inferred← citeshttps://doi.org/10.54254/2755-2721/31/20230124openalex-snapshot
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