On the public citation graph

Taking Over Control From Highly Automated Vehicles in Complex Traffic Situations

https://doi.org/10.1177/0018720816634226
0 signed · 456 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

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

inferredcites →https://doi.org/10.1016/j.aap.2015.02.023openalex-snapshot
What determines the take-over time? An integrated model approach of driver take-over after automated driving
inferredcites →https://doi.org/10.1016/j.trc.2013.02.008openalex-snapshot
Behavioural changes in drivers experiencing highly-automated vehicle control in varying traffic conditions
inferredcites →https://doi.org/10.1016/j.trf.2014.08.003openalex-snapshot
The sensitivity of different methodologies for characterizing drivers’ gaze concentration under increased cognitive demand
inferredcites →https://doi.org/10.1016/s1364-6613(02)00011-6openalex-snapshot
Evaluating perception in driving simulation experiments
inferredcites →https://doi.org/10.1037/1076-898x.9.1.23openalex-snapshot
Cell phone-induced failures of visual attention during simulated driving.
inferredcites →https://doi.org/10.1080/00140130500252990openalex-snapshot
Driver behaviour with adaptive cruise control
inferredcites →https://doi.org/10.1145/1734454.1734549openalex-snapshot
Single operator, multiple robots
inferredcites →https://doi.org/10.1177/0018720810391530openalex-snapshot
Mind Wandering Behind the Wheel
inferredcites →https://doi.org/10.1177/0018720812442087openalex-snapshot
Highly Automated Driving, Secondary Task Performance, and Driver State
inferredcites →https://doi.org/10.1177/0018720813482327openalex-snapshot
Improving the Driver–Automation Interaction
inferredcites →https://doi.org/10.1177/0018720813519265openalex-snapshot
Effects of Conversation on Situation Awareness and Working Memory in Simulated Driving
inferredcites →https://doi.org/10.1177/1071181312561415openalex-snapshot
The Effects of Cell Phone Use and Automation on Driver Performance and Subjective State in Simulated Driving
inferredcites →https://doi.org/10.1177/154193120605000114openalex-snapshot
Using the Distribution of Eye Fixations to Assess Pilots' Mental Workload
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/10.1177/1541931214581351openalex-snapshot
Designing take over scenarios for automated driving
inferredcites →https://doi.org/10.1177/1541931214581352openalex-snapshot
Highly automated driving with a decoupled steering wheel
inferredcites →https://doi.org/10.1177/1541931214581434openalex-snapshot
How Traffic Situations and Non-Driving Related Tasks Affect the Take-Over Quality in Highly Automated Driving
inferredcites →https://doi.org/10.1518/001872006777724471openalex-snapshot
A Comparison of the Cell Phone Driver and the Drunk Driver
inferredcites →https://doi.org/10.1518/hfes.46.4.640.56806openalex-snapshot
Profiles in Driver Distraction: Effects of Cell Phone Conversations on Younger and Older Drivers
inferredcites →https://doi.org/10.3141/2321-01openalex-snapshot
Naturalistic Census of Cell Phone Use
inferredcites →https://doi.org/10.5860/choice.32-2769openalex-snapshot
Cognitive systems engineering

What points at this work

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

inferred← citeshttps://doi.org/10.2139/ssrn.3345141openalex-extracted
Hurting Others vs. Hurting Myself, a Dilemma for our Autonomous Vehicle
inferred← citeshttps://doi.org/10.2139/ssrn.3867520openalex-extracted
Towards Standardized Metrics for Measuring Takeover Performance in Conditionally Automated Driving: A Systematic Review
inferred← citeshttps://doi.org/10.2139/ssrn.4140155openalex-extracted
Visual Displays Augmenting Sonification Feedback to Support Drivers in Conditionally Automated Driving
inferred← citeshttps://doi.org/10.2139/ssrn.4198837openalex-extracted
A New Method for Quantifying Workload of Drivers and Application in Analyzing Stabilization Time after Critical Events in Varying Automation Levels
inferred← citeshttps://doi.org/10.2139/ssrn.4498126openalex-extracted
The Influence of Human-Machine Interaction Information on Takeover Behaviors During Human-Machine Co-Driving Control Transition
inferred← citeshttps://doi.org/10.2139/ssrn.4798031openalex-extracted
Understanding User Perceptions and Knowledge: A Survey of Public Acceptance of Driving Automation
inferred← citeshttps://doi.org/10.1002/aisy.202000229openalex-snapshot
Human–Machine Collaboration for Automated Driving Using an Intelligent Two‐Phase Haptic Interface
inferred← citeshttps://doi.org/10.1002/hfm.20860openalex-snapshot
Study on drivers' visual perception characteristics during the take‐over of vehicle control in automated driving
inferred← citeshttps://doi.org/10.1007/978-3-030-22666-4_10openalex-snapshot
Attentional Dynamics After Take-Over Requests: The Need for Handover Assistance Systems in Highly Automated Vehicles
inferred← citeshttps://doi.org/10.1007/978-3-030-22666-4_8openalex-snapshot
Investigating Temporal Changes of Behavioral Adaptation and User Experience During Highly Automated Driving
inferred← citeshttps://doi.org/10.1007/978-3-030-25629-6_4openalex-snapshot
Levels of Driving Automation from a User’s Perspective: How Are the Levels Represented in the User’s Mental Model?
inferred← citeshttps://doi.org/10.1007/978-3-030-49062-1_23openalex-snapshot
Designing an AI-Companion to Support the Driver in Highly Autonomous Cars
inferred← citeshttps://doi.org/10.1007/978-3-030-50523-3_10openalex-snapshot
Human Factor Considerations on Timing of Driver Taking Over in Automated Driving Systems: A Literature Review
inferred← citeshttps://doi.org/10.1007/978-3-030-50943-9_1openalex-snapshot
Determining Infrastructure- and Traffic Factors that Increase the Perceived Complexity of Driving Situations
inferred← citeshttps://doi.org/10.1007/978-3-030-50943-9_32openalex-snapshot
Influence of Passive Fatigue and Take-Over Request Lead Time on Drivers’ Take-Over Performance
inferred← citeshttps://doi.org/10.1007/978-3-030-64556-4_51openalex-snapshot
Passenger Anxiety About Virtual Driver Awareness During a Trip with a Virtual Autonomous Vehicle
inferred← citeshttps://doi.org/10.1007/978-3-030-68017-6_13openalex-snapshot
Predicting Takeover Quality in Conditionally Automated Vehicles Using Machine Learning and Genetic Algorithms
inferred← citeshttps://doi.org/10.1007/978-3-030-77726-5_1openalex-snapshot
Automation, Situation Awareness and Mental Workload
inferred← citeshttps://doi.org/10.1007/978-3-030-77726-5_15openalex-snapshot
Multimodal Displays for Takeover Requests
inferred← citeshttps://doi.org/10.1007/978-3-030-78358-7_22openalex-snapshot
Multimodal Takeover Request Displays for Semi-automated Vehicles: Focused on Spatiality and Lead Time
inferred← citeshttps://doi.org/10.1007/978-3-030-80012-3_46openalex-snapshot
Influence of the Relative Position of Surrounding Traffic on Drivers’ Take-Over Performance
inferred← citeshttps://doi.org/10.1007/978-3-031-04424-3_3openalex-snapshot
A Technical Review on Driverless Vehicle Technologies in Smart Cities
inferred← citeshttps://doi.org/10.1007/978-3-031-10784-9_1openalex-snapshot
The Shorter Takeover Request Time the Better? Car-Driver Handover Control in Highly Automated Vehicles
inferred← citeshttps://doi.org/10.1007/978-3-031-35389-5_28openalex-snapshot
How to Determine the Time-Intervals of Two-Stage Warning Systems in Different Traffic Densities? An Investigation on the Takeover Process in Automated Driving
inferred← citeshttps://doi.org/10.1007/978-3-031-37404-3_17openalex-snapshot
Neural Correlates of Human-Machine Trust in Autonomous Vehicles Context
inferred← citeshttps://doi.org/10.1007/978-3-031-61353-1_16openalex-snapshot
Visual or Auditory First? The Modality Shift Effect in Two-Stage Takeover Warning
inferred← citeshttps://doi.org/10.1007/978-3-031-92689-1_2openalex-snapshot
Research Hotspots and Trends of Human-Machine Interface Design in Autonomous Vehicles: A Bibliometric Analysis
inferred← citeshttps://doi.org/10.1007/978-3-031-92692-1_14openalex-snapshot
Modelling Driver Intervention Tendencies in Connected and Automated Vehicles: A Survey-Based Investigation
inferred← citeshttps://doi.org/10.1007/978-3-032-13784-5_39openalex-snapshot
Takeover Scenarios in a Virtual Driving Simulator for L3 Autonomous Cars
inferred← citeshttps://doi.org/10.1007/978-3-032-30819-1_12openalex-snapshot
Modeling In-Vehicle Risk Behaviors During NDRT in Automated Driving Scenarios for Driver Monitoring System Simulation
inferred← citeshttps://doi.org/10.1007/978-3-319-49448-7_10openalex-snapshot
From Car-Driver-Handovers to Cooperative Interfaces: Visions for Driver–Vehicle Interaction in Automated Driving
inferred← citeshttps://doi.org/10.1007/978-3-319-60441-1_58openalex-snapshot
Understanding and Applying the Concept of “Driver Availability” in Automated Driving
inferred← citeshttps://doi.org/10.1007/978-3-319-60441-1_73openalex-snapshot
Manual Takeover and Handover of a Simulated Fully Autonomous Vehicle Within Urban and Extra-Urban Settings
inferred← citeshttps://doi.org/10.1007/978-3-319-92285-0_54openalex-snapshot
A Simulator-Based Approach to Assess Take-over Performance in a Conditionally Automated Vehicle
inferred← citeshttps://doi.org/10.1007/978-3-319-93885-1_26openalex-snapshot
Rating of Take-Over Performance in Conditionally Automated Driving Using an Expert-Rating System
inferred← citeshttps://doi.org/10.1007/978-3-319-94334-3_15openalex-snapshot
Tackling Autonomous Driving Challenges – How the Design of Autonomous Vehicles Is Mirroring Universal Design
inferred← citeshttps://doi.org/10.1007/978-3-319-94947-5_69openalex-snapshot
Drivers Quickly Trust Autonomous Cars
inferred← citeshttps://doi.org/10.1007/978-3-658-38486-9_38openalex-snapshot
Human Factors: Level 3+
inferred← citeshttps://doi.org/10.1007/978-3-658-45276-6_38openalex-snapshot
Human Factors: Level 3+
inferred← citeshttps://doi.org/10.1007/978-3-662-53305-5_22openalex-snapshot
How the Duration of Automated Driving Influences Take-Over Performance and Gaze Behavior
inferred← citeshttps://doi.org/10.1007/978-981-19-2259-6_88openalex-snapshot
Exploring the Effects of Request Time, Secondary Task, and Take-Over Mode on Take-Over Performance
inferred← citeshttps://doi.org/10.1007/978-981-97-3052-0_22openalex-snapshot
Analyzing Takeover Performance in Conditional Driving Automation: Focusing on Takeover Conditions in Which Vehicle Control Can Be Transferred Directly to Drivers
inferred← citeshttps://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
inferred← citeshttps://doi.org/10.1007/s10111-018-0526-7openalex-snapshot
Influence of cognitive ability on task performance of dynamic decision making in military vehicles under different task complexity
inferred← citeshttps://doi.org/10.1007/s10111-022-00705-3openalex-snapshot
When terminology hinders research: the colloquialisms of transitions of control in automated driving
inferred← citeshttps://doi.org/10.1007/s11042-021-11681-7openalex-snapshot
Train here, drive there: ROS based end-to-end autonomous-driving pipeline validation in CARLA simulator using the NHTSA typology
inferred← citeshttps://doi.org/10.1007/s12239-020-0074-zopenalex-snapshot
Understanding Metrics of Vehicle Control Take-Over Requests in Simulated Automated Vehicles
inferred← citeshttps://doi.org/10.1007/s13177-021-00277-yopenalex-snapshot
Boosting Advanced Driving Information: a Real-world Experiment About the Effect of HUD on HMI, Driving Effort, and Safety
inferred← citeshttps://doi.org/10.1007/s13177-024-00457-6openalex-snapshot
Impact of Buffer Time on Driving Behavior in Level-3 Autonomous Vehicles
inferred← citeshttps://doi.org/10.1007/s41449-021-00295-2openalex-snapshot
Übernahmeaufforderungen beim hochautomatisierten Fahren mit fahrfremden Tätigkeiten – welche Modalitäten sind geeignet?
inferred← citeshttps://doi.org/10.1007/s42154-019-00085-xopenalex-snapshot
Automated Vehicle Handover Interface Design: Focus Groups with Learner, Intermediate and Advanced Drivers
inferred← citeshttps://doi.org/10.1007/s42524-026-6191-2openalex-snapshot
A comprehensive review of artificial intelligence in transportation research
inferred← citeshttps://doi.org/10.1016/b978-0-12-813296-8.00020-7openalex-snapshot
References
inferred← citeshttps://doi.org/10.1016/b978-0-12-821377-3.00017-9openalex-snapshot
Vision, attention, and driving
inferred← citeshttps://doi.org/10.1016/b978-0-12-822901-9.00007-5openalex-snapshot
Human factors in automated driving
inferred← citeshttps://doi.org/10.1016/b978-0-323-98339-6.00014-2openalex-snapshot
Human-machine interaction
inferred← citeshttps://doi.org/10.1016/b978-0-443-18997-5.00002-1openalex-snapshot
Intelligent haptic interface design for human–machine interaction in automated vehicles
inferred← citeshttps://doi.org/10.1016/j.aap.2016.12.001openalex-snapshot
Comparing spatially static and dynamic vibrotactile take-over requests in the driver seat
inferred← citeshttps://doi.org/10.1016/j.aap.2017.11.009openalex-snapshot
Modeling take-over performance in level 3 conditionally automated vehicles
inferred← citeshttps://doi.org/10.1016/j.aap.2018.03.013openalex-snapshot
Asleep at the automated wheel—Sleepiness and fatigue during highly automated driving
inferred← citeshttps://doi.org/10.1016/j.aap.2018.04.004openalex-snapshot
Dangerous intersections? A review of studies of fatigue and distraction in the automated vehicle
inferred← citeshttps://doi.org/10.1016/j.aap.2018.11.018openalex-snapshot
The effects of takeover request modalities on highly automated car control transitions
inferred← citeshttps://doi.org/10.1016/j.aap.2019.02.005openalex-snapshot
Risk of automated driving: Implications on safety acceptability and productivity
inferred← citeshttps://doi.org/10.1016/j.aap.2019.06.011openalex-snapshot
In a heart beat: Using driver’s physiological changes to determine the quality of a takeover in highly automated vehicles
inferred← citeshttps://doi.org/10.1016/j.aap.2020.105543openalex-snapshot
Understanding take-over performance of high crash risk drivers during conditionally automated driving
inferred← citeshttps://doi.org/10.1016/j.aap.2020.105588openalex-snapshot
What happens when drivers of automated vehicles take over control in critical brake situations?
inferred← citeshttps://doi.org/10.1016/j.aap.2020.105748openalex-snapshot
Predicting driver takeover performance in conditionally automated driving
inferred← citeshttps://doi.org/10.1016/j.aap.2020.105804openalex-snapshot
Psychophysiological responses to takeover requests in conditionally automated driving
inferred← citeshttps://doi.org/10.1016/j.aap.2021.106216openalex-snapshot
Assessing subjective criticality of take-over situations: Validation of two rating scales
inferred← citeshttps://doi.org/10.1016/j.aap.2022.106572openalex-snapshot
The effect of inconsistent steering guidance during transitions from Highly Automated Driving
inferred← citeshttps://doi.org/10.1016/j.aap.2022.106588openalex-snapshot
Objective assessment of trait attentional control predicts driver response to emergency failures of vehicular automation
inferred← citeshttps://doi.org/10.1016/j.aap.2022.106593openalex-snapshot
The effects of takeover request lead time on drivers’ situation awareness for manually exiting from freeways: A web-based study on level 3 automated vehicles
inferred← citeshttps://doi.org/10.1016/j.aap.2022.106647openalex-snapshot
Does a faster takeover necessarily mean it is better? A study on the influence of urgency and takeover-request lead time on takeover performance and safety
inferred← citeshttps://doi.org/10.1016/j.aap.2022.106766openalex-snapshot
A user study of directional tactile and auditory user interfaces for take-over requests in conditionally automated vehicles
inferred← citeshttps://doi.org/10.1016/j.aap.2022.106905openalex-snapshot
Drivers’ gaze patterns when resuming control with a head-up-display: Effects of automation level and time budget
inferred← citeshttps://doi.org/10.1016/j.aap.2023.107018openalex-snapshot
Impact of duration of monitoring before takeover request on takeover time with insights into eye tracking data
inferred← citeshttps://doi.org/10.1016/j.aap.2023.107076openalex-snapshot
Impact of non-driving related tasks while operating automated driving systems (ADS): A systematic review
inferred← citeshttps://doi.org/10.1016/j.aap.2023.107243openalex-snapshot
Assessing the physiological effect of non-driving-related task performance and task modality in conditionally automated driving systems: A systematic review and meta-analysis
inferred← citeshttps://doi.org/10.1016/j.aap.2024.107687openalex-snapshot
Enhancing safety in conditionally automated driving: Can more takeover request visual information make a difference in hazard scenarios with varied hazard visibility?
inferred← citeshttps://doi.org/10.1016/j.aap.2024.107790openalex-snapshot
Investigating looming tactile takeover requests with various levels of urgency in automated vehicles
inferred← citeshttps://doi.org/10.1016/j.aap.2024.107793openalex-snapshot
Effects of non-driving related postures on takeover performance during conditionally automated driving
inferred← citeshttps://doi.org/10.1016/j.aap.2024.107810openalex-snapshot
Does connected environment contribute to the driving safety and traffic efficiency improvement in emergency events?
inferred← citeshttps://doi.org/10.1016/j.aap.2025.108008openalex-snapshot
Effects of time interval and request modality on driver takeover responses: Identifying the optimal time interval for two-stage warning system
inferred← citeshttps://doi.org/10.1016/j.aap.2025.108012openalex-snapshot
A systematic review on test performance of the driver takeover process in automated driving
inferred← citeshttps://doi.org/10.1016/j.aap.2025.108041openalex-snapshot
Collision risk prediction and takeover requirements assessment based on radar-video integrated sensors data: A system framework based on LLM
inferred← citeshttps://doi.org/10.1016/j.aap.2025.108158openalex-snapshot
Impact of information-assisted modalities and levels on driver takeover performance in conditional automated driving
inferred← citeshttps://doi.org/10.1016/j.aap.2025.108327openalex-snapshot
The impact of N-back-induced mental workload and time budget on takeover performance
inferred← citeshttps://doi.org/10.1016/j.aap.2025.108383openalex-snapshot
Enhancing safety in remote takeover of highly automated mining trucks: What are the different effects of audiovisual takeover requests under daytime and nighttime conditions?
inferred← citeshttps://doi.org/10.1016/j.aap.2026.108510openalex-snapshot
More explicit is not always better: Boundary conditions for action guidance in hazard notifications across traffic complexity
inferred← citeshttps://doi.org/10.1016/j.aap.2026.108681openalex-snapshot
Drivers have constrained cognitive resources under cognitive and visual distraction: Safety implications for transitions of control from vehicle automation
inferred← citeshttps://doi.org/10.1016/j.aap.2026.108716openalex-snapshot
Takeover scenario semantic salience: a cognitive framework for linking scenario difficulty to driver performance and neurophysiological state
inferred← citeshttps://doi.org/10.1016/j.aap.2026.108785openalex-snapshot
Auditory cues in automated driving: enhancing takeover performance with spatialized looming warnings
inferred← citeshttps://doi.org/10.1016/j.actpsy.2024.104450openalex-snapshot
Factors influencing recommendation intentions for autonomous vehicles: A path analysis in a pilot study
inferred← citeshttps://doi.org/10.1016/j.aei.2024.102683openalex-snapshot
An interpretable prediction framework for multi-class situational awareness in conditionally automated driving
inferred← citeshttps://doi.org/10.1016/j.aei.2025.103188openalex-snapshot
Knowledge transfer from simple to complex: A safe and efficient reinforcement learning framework for autonomous driving decision-making
inferred← citeshttps://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
inferred← citeshttps://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
inferred← citeshttps://doi.org/10.1016/j.apergo.2020.103343openalex-snapshot
Modeling takeover time based on non-driving-related task attributes in highly automated driving
inferred← citeshttps://doi.org/10.1016/j.apergo.2022.103695openalex-snapshot
Speech-based takeover requests in conditionally automated driving: Effects of different voices on the driver takeover performance
inferred← citeshttps://doi.org/10.1016/j.apergo.2022.103824openalex-snapshot
Effects of levels of automation and non-driving related tasks on driver performance and workload: A review of literature and meta-analysis
inferred← citeshttps://doi.org/10.1016/j.apergo.2024.104252openalex-snapshot
The effects of various auditory takeover requests: A simulated driving study considering the modality of non-driving-related tasks
inferred← citeshttps://doi.org/10.1016/j.apergo.2024.104366openalex-snapshot
Once a driver, always a driver — Manual driving style persists in automated driving takeover
inferred← citeshttps://doi.org/10.1016/j.bspc.2022.104237openalex-snapshot
Recognising drivers’ mental fatigue based on EEG multi-dimensional feature selection and fusion
inferred← citeshttps://doi.org/10.1016/j.displa.2025.103117openalex-snapshot
How task demands influence driver behaviour in conditionally automated driving: An investigation of situation awareness and takeover performance
inferred← citeshttps://doi.org/10.1016/j.ergon.2026.104000openalex-snapshot
Designing dynamic takeover request timing for conditional automated driving: Effects on takeover performance, workload, and trust
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.123153openalex-snapshot
Determining the onset of driver’s preparatory action for take-over in automated driving using multimodal data
inferred← citeshttps://doi.org/10.1016/j.eswa.2026.132493openalex-snapshot
A novel dataset and model for driver attention prediction in interactive dynamic traffic
inferred← citeshttps://doi.org/10.1016/j.heliyon.2024.e24112openalex-snapshot
Getting back in the loop: Does autonomous driving duration affect driver's takeover performance?
inferred← citeshttps://doi.org/10.1016/j.iatssr.2025.03.003openalex-snapshot
Unpacking the relationship between task complexity and driving risk: Insights from a UK on-road trial
inferred← citeshttps://doi.org/10.1016/j.ifacol.2019.12.113openalex-snapshot
Effect of Changes in Levels of Automated Driving on Manual Control Recovery
inferred← citeshttps://doi.org/10.1016/j.ifacol.2025.01.186openalex-snapshot
ADAS Evolution: LSTM-Driven Autonomous Adaptation to Individual Driver Preferences
inferred← citeshttps://doi.org/10.1016/j.ijhcs.2022.102979openalex-snapshot
Exploring the influence of driver affective state and auditory display urgency on takeover performance in semi-automated vehicles: Experiment and modelling
inferred← citeshttps://doi.org/10.1016/j.ijhcs.2024.103260openalex-snapshot
Law and order: Investigating the effects of conflictual situations in manual and automated driving in a German sample
inferred← citeshttps://doi.org/10.1016/j.ijhcs.2024.103401openalex-snapshot
Effects of in-vehicle auditory interactions on takeover performance in SAE L2 semi-automated vehicles
inferred← citeshttps://doi.org/10.1016/j.jsr.2023.08.003openalex-snapshot
Is driving experience all that matters? Drivers’ takeover performance in conditionally automated driving
inferred← citeshttps://doi.org/10.1016/j.jsr.2023.11.015openalex-snapshot
The monitoring requests on young driver’s fatigue and take-over performance in prolonged conditional automated driving
inferred← citeshttps://doi.org/10.1016/j.jsr.2024.09.016openalex-snapshot
Effects of integrated takeover request warning with personal portable device on takeover time and post-takeover performance in level 3 driving automation
inferred← citeshttps://doi.org/10.1016/j.nahs.2019.05.007openalex-snapshot
Position paper on the challenges posed by modern applications to cyber-physical systems theory
inferred← citeshttps://doi.org/10.1016/j.neucom.2024.128669openalex-snapshot
Hybrid lane change strategy of autonomous vehicles based on SOAR cognitive architecture and deep reinforcement learning
inferred← citeshttps://doi.org/10.1016/j.ress.2024.110577openalex-snapshot
A human reliability analysis method based on STPA-IDAC and BN-SLIM for driver take-over in Level 3 automated driving
inferred← citeshttps://doi.org/10.1016/j.ress.2024.110591openalex-snapshot
Traffic advisory for ship encounter situation based on linear dynamic system
inferred← citeshttps://doi.org/10.1016/j.robot.2024.104630openalex-snapshot
Path planning algorithms in the autonomous driving system: A comprehensive review
inferred← citeshttps://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
inferred← citeshttps://doi.org/10.1016/j.trd.2021.103048openalex-snapshot
What affects drivers’ satisfaction with autonomous vehicles in different road scenarios?
inferred← citeshttps://doi.org/10.1016/j.trf.2017.08.013openalex-snapshot
Online adaptation of the Level of Haptic Authority in a lane keeping system considering the driver’s state
inferred← citeshttps://doi.org/10.1016/j.trf.2018.03.019openalex-snapshot
Transitioning to manual driving requires additional time after automation deactivation
inferred← citeshttps://doi.org/10.1016/j.trf.2018.06.004openalex-snapshot
Understanding trust and acceptance of automated vehicles: An exploratory simulator study of transfer of control between automated and manual driving
inferred← citeshttps://doi.org/10.1016/j.trf.2018.06.008openalex-snapshot
Conditionally and highly automated vehicle handover: A study exploring vocal communication between two drivers
inferred← citeshttps://doi.org/10.1016/j.trf.2018.10.012openalex-snapshot
Towards guidelines and verification methods for automated vehicle HMIs
inferred← citeshttps://doi.org/10.1016/j.trf.2018.11.015openalex-snapshot
Non-driving-related tasks, workload, and takeover performance in highly automated driving contexts
inferred← citeshttps://doi.org/10.1016/j.trf.2019.02.009openalex-snapshot
Investigation of older drivers’ requirements of the human-machine interaction in highly automated vehicles
inferred← citeshttps://doi.org/10.1016/j.trf.2019.04.006openalex-snapshot
Transitions to manual control from highly automated driving in non-critical truck platooning scenarios
inferred← citeshttps://doi.org/10.1016/j.trf.2019.04.020openalex-snapshot
Determinants of take-over time from automated driving: A meta-analysis of 129 studies
inferred← citeshttps://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
inferred← citeshttps://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?
inferred← citeshttps://doi.org/10.1016/j.trf.2019.10.009openalex-snapshot
Evaluation of the effects of age-friendly human-machine interfaces on the driver’s takeover performance in highly automated vehicles
inferred← citeshttps://doi.org/10.1016/j.trf.2020.06.002openalex-snapshot
Behavioral changes to repeated takeovers in automated driving: The drivers’ ability to transfer knowledge and the effects of takeover request process
inferred← citeshttps://doi.org/10.1016/j.trf.2020.08.009openalex-snapshot
Drivers’ driving style and their take-over-control judgment
inferred← citeshttps://doi.org/10.1016/j.trf.2020.12.017openalex-snapshot
Effects of a driver assistance system with foresighted deceleration control on the driving performance of elderly and younger drivers
inferred← citeshttps://doi.org/10.1016/j.trf.2021.03.004openalex-snapshot
Should older people be considered a homogeneous group when interacting with level 3 automated vehicles?
inferred← citeshttps://doi.org/10.1016/j.trf.2021.05.012openalex-snapshot
Are novice drivers competent to take over control from level 3 automated vehicles? A comparative study with experienced drivers
inferred← citeshttps://doi.org/10.1016/j.trf.2021.08.005openalex-snapshot
Measuring drivers’ takeover performance in varying levels of automation: Considering the influence of cognitive secondary task
inferred← citeshttps://doi.org/10.1016/j.trf.2021.10.002openalex-snapshot
Evaluating the impacts of situational awareness and mental stress on takeover performance under conditional automation
inferred← citeshttps://doi.org/10.1016/j.trf.2021.10.004openalex-snapshot
Evaluating the impacts of driver’s pre-warning cognitive state on takeover performance under conditional automation
inferred← citeshttps://doi.org/10.1016/j.trf.2021.11.008openalex-snapshot
Handing control back to drivers: Exploring the effects of handover procedure during transitions from Highly Automated Driving
inferred← citeshttps://doi.org/10.1016/j.trf.2021.12.007openalex-snapshot
How to identify the take-over criticality in conditionally automated driving? An examination using drivers’ physiological parameters and situational factors
inferred← citeshttps://doi.org/10.1016/j.trf.2022.03.007openalex-snapshot
Alternative options for dealing with automation failures: Automated stopping vs. Taking over manual control
inferred← citeshttps://doi.org/10.1016/j.trf.2022.03.012openalex-snapshot
Effects of environmental, vehicle and human factors on comfort in partially automated driving: A scenario-based study
inferred← citeshttps://doi.org/10.1016/j.trf.2022.04.018openalex-snapshot
Impact of the driver’s visual engagement on situation awareness and takeover quality
inferred← citeshttps://doi.org/10.1016/j.trf.2022.08.008openalex-snapshot
Modeling the effects of perceived intuitiveness and urgency of various auditory warnings on driver takeover performance in automated vehicles
inferred← citeshttps://doi.org/10.1016/j.trf.2022.10.001openalex-snapshot
Effect of multiple monitoring requests on vigilance and readiness by measuring eye movement and takeover performance
inferred← citeshttps://doi.org/10.1016/j.trf.2022.10.009openalex-snapshot
Devil in the details: Systematic review of TOR signals in automated driving with a generic classification framework
inferred← citeshttps://doi.org/10.1016/j.trf.2023.01.017openalex-snapshot
Adding visual contextual information to continuous sonification feedback about low-reliability situations in conditionally automated driving: A driving simulator study
inferred← citeshttps://doi.org/10.1016/j.trf.2023.02.015openalex-snapshot
Using pupillometry and gaze-based metrics for understanding drivers’ mental workload during automated driving
inferred← citeshttps://doi.org/10.1016/j.trf.2023.05.009openalex-snapshot
Influence of non-driving related tasks on driving performance after takeover transition in conditionally automated driving
inferred← citeshttps://doi.org/10.1016/j.trf.2023.08.002openalex-snapshot
Measuring takeover performance in different driving scenarios: Considering the influence of non-driving-related tasks and takeover request lead time
inferred← citeshttps://doi.org/10.1016/j.trf.2024.01.008openalex-snapshot
Behavioral and physiological responses to takeovers in different scenarios during conditionally automated driving
inferred← citeshttps://doi.org/10.1016/j.trf.2024.03.021openalex-snapshot
Safety evaluation and prediction of takeover performance in automated driving considering drivers’ cognitive load: A driving simulator study
inferred← citeshttps://doi.org/10.1016/j.trf.2024.06.007openalex-snapshot
How various urgencies and visibilities influence drivers’ takeover performance in critical car-following conditions? A driving simulation study
inferred← citeshttps://doi.org/10.1016/j.trf.2024.06.012openalex-snapshot
How to design driver takeover request in real-world scenarios: A systematic review
inferred← citeshttps://doi.org/10.1016/j.trf.2024.08.004openalex-snapshot
Gender affects perception and movement times during non-critical takeovers in conditionally automated driving
inferred← citeshttps://doi.org/10.1016/j.trf.2024.08.016openalex-snapshot
Drivers’ situational awareness of surrounding vehicles during takeovers: Evidence from a driving simulator study
inferred← citeshttps://doi.org/10.1016/j.trf.2024.08.033openalex-snapshot
How long the effect of take-over conditions Lasts? a survival analysis of Commercial Motor vehicle drivers’ reaction time and driving behavior in Level 4 of automated vehicles
inferred← citeshttps://doi.org/10.1016/j.trf.2025.06.003openalex-snapshot
Assessment of takeover safety in human–machine co-driving on grassland highways: Coupling effects of non-driving-related tasks and takeover scenarios
inferred← citeshttps://doi.org/10.1016/j.trf.2025.06.020openalex-snapshot
The effect of cognitive load on driver situational awareness under partially automated driving conditions
inferred← citeshttps://doi.org/10.1016/j.trf.2025.07.018openalex-snapshot
How do obstacle characteristics and driver alertness affect the takeover process in conditionally automated driving?
inferred← citeshttps://doi.org/10.1016/j.trf.2025.103478openalex-snapshot
The influence of cabin environment on takeover performance in conditional automated driving
inferred← citeshttps://doi.org/10.1016/j.trf.2026.103674openalex-snapshot
Investigating the role of adaptive multimodal Interface in take-over performance
inferred← citeshttps://doi.org/10.1016/j.trf.2026.103755openalex-snapshot
How do emotional cues influence drivers' pre-takeover readiness in automated driving? Evidence from olfaction-involved affective multimodal interaction
inferred← citeshttps://doi.org/10.1016/j.trip.2021.100337openalex-snapshot
A fallback mechanism or a commander? A discussion about the role and skill needs of future drivers within partially automated vehicles
inferred← citeshttps://doi.org/10.1016/j.trip.2025.101593openalex-snapshot
Effect of driver-initiated driver control during scheduled transitions with recommendations on reaction times and vehicle control performance in conditional driving automation
inferred← citeshttps://doi.org/10.1017/9781009386708.003openalex-snapshot
An Introduction to the Law, Policy, and Regulation for Human–Robot Interaction
inferred← citeshttps://doi.org/10.1017/9781009386708.006openalex-snapshot
Human–Robot Interaction
inferred← citeshttps://doi.org/10.1049/iet-its.2019.0018openalex-snapshot
Long automated driving phase affects take‐over performance
inferred← citeshttps://doi.org/10.1061/9780784481523.003openalex-snapshot
Take-Over of Control in Highly Automated Vehicles: A Literature Review
inferred← citeshttps://doi.org/10.1061/9780784483145.013openalex-snapshot
Investigating the Impact of Driving Style on the Take-Over Performance in Level 3 Automation
inferred← citeshttps://doi.org/10.1061/9780784483145.026openalex-snapshot
The Effects of Extra Cognitive Workload on Drivers’ Driving Performance under Smooth Car-Following Drive and Critical Situations
inferred← citeshttps://doi.org/10.1061/9780784484876.025openalex-snapshot
Drivers’ Reaction to Connected and Automated Vehicle Safety Applications in the Vicinity of a Work Zone: A Driving Simulator Study
inferred← citeshttps://doi.org/10.1061/jtepbs.teeng-8426openalex-snapshot
Overtaking Behavior on Two-Lane Undivided Roads: A Literature Review of Influencing Factors and Future Research Directions
inferred← citeshttps://doi.org/10.1080/00140139.2023.2221417openalex-snapshot
Individual differences, ADHD diagnosis, and driving performance: effects of traffic density and distraction type
inferred← citeshttps://doi.org/10.1080/00140139.2024.2340671openalex-snapshot
Modelling attention allocation and takeover performance in two-stage takeover system via a cognitive computational model: considering the role of multiple monitoring requests
inferred← citeshttps://doi.org/10.1080/00140139.2024.2431584openalex-snapshot
How difficult is it perceived to takeover in a level 3 automated vehicle? Investigation of the ease of use according to task and situational factors
inferred← citeshttps://doi.org/10.1080/00140139.2026.2662001openalex-snapshot
Chatting with AI: enhancing the supervision safety of near-L3 automated driving by engaging in non-driving–related tasks
inferred← citeshttps://doi.org/10.1080/0144929x.2024.2420183openalex-snapshot
How can level of trust in conditional driving automation vehicles be improved? Road condition feedback strategies and the mediating role of anxiety
inferred← citeshttps://doi.org/10.1080/03081060.2019.1609221openalex-snapshot
Investigating the effects of age and disengagement in driving on driver’s takeover control performance in highly automated vehicles
inferred← citeshttps://doi.org/10.1080/03081060.2024.2375645openalex-snapshot
Understanding the human factors challenge of handover between levels of automation for uncrewed air systems: a systematic literature review
inferred← citeshttps://doi.org/10.1080/10447318.2018.1561784openalex-snapshot
“Human” Problems in Semi-Autonomous Vehicles: Understanding Drivers’ Reactions to Off-Nominal Scenarios
inferred← citeshttps://doi.org/10.1080/10447318.2018.1561789openalex-snapshot
A Hidden Markov Framework to Capture Human–Machine Interaction in Automated Vehicles
inferred← citeshttps://doi.org/10.1080/10447318.2018.1561792openalex-snapshot
Human–Vehicle Cooperation in Automated Driving: A Multidisciplinary Review and Appraisal
inferred← citeshttps://doi.org/10.1080/10447318.2019.1634317openalex-snapshot
Takeover Transition in Autonomous Vehicles: A YouTube Study
inferred← citeshttps://doi.org/10.1080/10447318.2020.1815361openalex-snapshot
Effects of Non-Driving-Related Task Attributes on Takeover Quality in Automated Vehicles
inferred← citeshttps://doi.org/10.1080/10447318.2020.1860514openalex-snapshot
Take over Gradually in Conditional Automated Driving: The Effect of Two-stage Warning Systems on Situation Awareness, Driving Stress, Takeover Performance, and Acceptance
inferred← citeshttps://doi.org/10.1080/10447318.2021.1937875openalex-snapshot
Eliciting User Needs and Design Requirements for User Experience in Fully Automated Vehicles
inferred← citeshttps://doi.org/10.1080/10447318.2023.2228068openalex-snapshot
Playing Games Guiding Attention Improves Situation Awareness and Takeover Quality during Automated Driving
inferred← citeshttps://doi.org/10.1080/10447318.2024.2350840openalex-snapshot
From Distraction to Action: Elevating Situation Awareness with Visual Assistance in Level 3 Autonomous Driving
inferred← citeshttps://doi.org/10.1080/10447318.2024.2432447openalex-snapshot
Driving Behaviour Research for Autonomous Vehicle Interaction Design: A Comprehensive Review and Future Directions
inferred← citeshttps://doi.org/10.1080/10447318.2025.2484417openalex-snapshot
Consequence-Aware Takeovers: Enhancing Safety in Autonomous Driving Transitions
inferred← citeshttps://doi.org/10.1080/10447318.2025.2514257openalex-snapshot
How Messages Should Be Delivered in Autonomous Driving: The Effect of Message Framing and Construal Level
inferred← citeshttps://doi.org/10.1080/10447318.2025.2546046openalex-snapshot
Modeling Driver Situational Awareness in Takeover Scenarios Using Multimodal Data and Machine Learning
inferred← citeshttps://doi.org/10.1080/10447318.2025.2552863openalex-snapshot
A Systematic Review of Metrics Measuring Takeover Performance in Conditionally Automated Driving
showing the first 200 of 435
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.