Reference health

Take-Over Strategy of Multi-Mode Driving for Intelligent Driving Vehicle in the Disengagement Scenario

https://doi.org/10.2139/ssrn.4109860
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22/22 checkable references clean · checked 2026-07-23

Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.

40 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.

The 22 checked references that resolve
resolves10.1109/ICTC.2018.8539431
Take-over performance analysis depending on the drivers’ non-driving secondary tasks in automated vehicles
resolves10.1016/j.aap.2017.11.009
Modeling take-over performance in level 3 conditionally automated vehicles
resolves10.1016/j.trf.2016.03.002
The influence of age on the take-over of vehicle control in highly automated driving
resolves10.1518/hfes.46.4.583.56811
Preface to the Special Section on Driver Distraction
resolves10.1016/j.trf.2009.12.003
Driver hand position on the steering wheel while merging into motorway traffic
resolves10.1109/MCOMSTD.2017.1700015
Vehicle-to-Everything (v2x) Services Supported by LTE-Based Systems and 5G
resolves10.1109/NETSOFT.2018.8459911
Towards 5G Network Slicing for the V2X Ecosystem
resolves10.1109/MCOM.2018.1701171
Vehicular Communication Networks in the Automated Driving Era
resolves10.1109/EuCNC.2019.8802029
Remote Control Demonstrator Development in 5G Test Network
resolves10.1016/S0001-4575(00)00019-1
Extended time-to-collision measures for road traffic safety assessment
resolves10.1142/S0129065715500021
Real-Time EEG-Based Detection of Fatigue Driving Danger for Accident Prediction
resolves10.1146/annurev.publhealth.27.021405.102117
STRESS, FATIGUE, HEALTH, AND RISK OF ROAD TRAFFIC ACCIDENTS AMONG PROFESSIONAL DRIVERS: The Contribution of Physical Inactivity
resolves10.1371/journal.pone.0238738
Relationship between truck driver fatigue and rear-end collision risk
resolves10.20485/jsaeijae.5.4_129
Negative Effects of Visual Distraction on Traffic Accidents
resolves10.1109/ACCESS.2019.2916691
Analyzing Traffic Crash Severity With Combination of Information Entropy and Bayesian Network
resolves10.1007/s00500-018-3162-5
Information entropy risk measure applied to large group decision-making method
resolves10.1016/j.trf.2021.03.014
Exploration of the effects of task-related fatigue on eye-motion features and its value in improving driver fatigue-related technology
resolves10.1177/1541931218621443
Glances That Matter: Applying Quantile Regression to Assess Driver Distraction from Off-Road Glances
resolves10.1109/TPAMI.2018.2845370
Predicting the Driver's Focus of Attention: The DR(eye)VE Project
resolves10.1016/j.aap.2017.08.027
Driving performance at lateral system limits during partially automated driving
resolves10.1109/MCOM.2017.1600863
Collaborative Mobile Edge Computing in 5G Networks: New Paradigms, Scenarios, and Challenges
resolves10.1109/URSIAP-RASC.2016.7601208
Channel measurements and modeling for 5G communication systems at 3.5 GHz band
The 40 references without a DOI — listed, not checked
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no DOI — not checkedNon-driving related tasks in highly automated driving-effects of task modalities and cognitive workload on take
no DOI — not checkedCognitive psychological approach for unraveling the take-over process during automated
no DOI — not checkedAnalysis of the Driving Behavior During the Takeover of Automatic Driving Vehicles in Dangerous Traffic Situation
no DOI — not checkedImpact of Visual Secondary Task on Young Drivers' Take-over Time in Automated Driving
no DOI — not checkedref11
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no DOI — not checkedStudy on take-over behavior of automated driving based on driving simulation
no DOI — not checkedref14
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no DOI — not checkedref16
no DOI — not checkedA final report: evaluation of techniques for ocular measurement as an index of fatigue and as the basis for alertness management DOT
no DOI — not checkedStudy on method of determining eye fatigue degree
no DOI — not checkedref19
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no DOI — not checkedDriver distraction and driver inattention: Definition, relationship and taxonomy
no DOI — not checkedref24
no DOI — not checkedref25
no DOI — not checkedStudy on the Impact Degrees of Several Driving Behaviors When Driving While Performing Secondary Tasks
no DOI — not checkedThe 100-Car Naturalistic Driving Study, Phase II-Results of the 100-Car Field Experiment
no DOI — not checkedAutonomous Driving in the Real World: Experiences with Tesla Autopilot and
no DOI — not checkedref31
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no DOI — not checkedref34
no DOI — not checkedV2X-supported automated driving in modern 4G
no DOI — not checkedref37
no DOI — not checkedref38
no DOI — not checkedBit error rate: Fundamental concepts and measurement issues
no DOI — not checkedBer Analysis of Channel Coding Techniques for 5g
no DOI — not checkedTime delay analysis of 5G remote real
no DOI — not checkedDesign of 5G Wireless Communications in the High-speed Railway
no DOI — not checkedref46
no DOI — not checkedA method for fatigue detection based on Driver's steering wheel grip
no DOI — not checkedA Fatigue Driving Detection Method Based on Multi Facial Features Fusion
no DOI — not checkedSimulation and modeling of millimeter-wave channel at 60 GHz in indoor environment for 5G wireless communication
no DOI — not checkedPerformance of a 5G NPN in industry: statistical analysis and application to black channel
no DOI — not checkedResearch on the relationship between reaction ability and mental state for online assessment of driving fatigue
What this badge says. CiteStamped means the CHECKABLE references of this work were clean at the dated check: each resolved to a known work in a public registry, and none carried a retraction notice at that time. It says nothing about the quality, findings, or importance of the work itself, and nothing about references deposited without a DOI.

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