field operational test

Large-fleet naturalistic deployment, often with intervention arm.

1441 papers carry this method tag, of 19870 that declare a method at all (62594 papers carry any topic). Absence here means undeclared, not absent.

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Newest 200 shown. For the full set, or to combine this with a topic, use the catalogue search.

Perceptions and Understanding of Advanced Driver Assistance Systems and Vehicle Automation · 2026 · AAA Foundation for Traffic Safety
Investigating Fuel Consumption and Pollutants Emission of Autonomous Vehicles Using the Waymo Open Dataset ↗ · 2026 · Ali, Yasir
Vehicle Automation and Operator Training: A Systematic Review ↗ · 2026 · Hungund, Apoorva Pramod et al.
Protocol for the REVELIO test-track pilot study: a randomised, controlled, single-centre trial in healthy recreational cannabis users investigating real-time in-vehicle detection of cannabis-impaired driving ↗ · 2026 · Deuber, Robin et al.
Personalized Classification of Scenario-Derived Operational Driver-State Classes from Non-Intrusive Wearable Signals in Real-World SAE Level 2 Automated Driving ↗ · 2026 · Fernandez-Matellan, Raul et al.
Intelligent driver monitoring systems: a survey of drowsiness detection technologies for road safety ↗ · 2026 · Hassan, Osama F. et al.
On-Track Validation of Full-Stack Agreement-Seeking Cooperative Driving Automation and Energy Saving Evaluation ↗ · 2026 · Hyeon, Eunjeong et al.
Real-World Driving Behavior, Performance, and Risk Following Alcohol and Cannabis Use in Habitual Cannabis Users ↗ · 2026 · Jain, Sparsh et al.
How Do Drivers Interact with In-Vehicle Information Systems in Everyday Driving? Evidence from Large-Scale Naturalistic Data ↗ · 2026 · Hilbert, Jan et al.
Collision Avoidance Testing of the Waymo Automated Driving System ↗ · 2026 · Kusano, Kristofer et al.
<p>Alertness-Related Differences in Car-Following Strategy among Truck Drivers Based on Naturalistic Driving Data</p> ↗ · 2026 · Liu, Yang et al.
Human-Centred Classification of Remote Operation Intervention Scenarios for Automated Vehicles ↗ · 2026 · Medojevic, Marko et al.
Evaluating and Rating the Safety Benefits of Advanced Vehicle Technologies: Developing a Transparent Approach and Consumer Messaging to Maximize Benefit&nbsp; ↗ · 2026 · Mehler, Bruce et al.
Saxton Transportation Operations Laboratory Web-Based and Open-Source Tools for Connected and Automated Vehicle (CAV) Research and Deployment [fact sheet] · 2026 · NHTSA
Impaired Driving Tracking System · 2026 · Okyere, Dennis et al.
Naturalistic driving data extraction and processing for studying driver head scanning behavior at intersections ↗ · 2026 · Pundlik, Shrinivas et al.
An Experimental Setup for Collecting Physiological Data from Vehicle Drivers ↗ · 2026 · Radev, Hristo et al.
Quantifying Upper Limb Movement During Naturalistic Driving: A Clinically Informed Ecological Approach ↗ · 2026 · Rankin, Carly R. et al.
Experiencing Automated Vehicles in Real-Life Affects Central Aspects of Drivers’ User Experience · 2026 · Brandenburg, Stefan et al.
Thermal-Based Driver Monitoring in an Automotive Environment Using a Mobile Camera: A Feasibility Study ↗ · 2026 · Stoyanov, Yordan
Evaluation of Digital Alert Systems Associated With Emergency Response Vehicles and Compliance With Move Over Law · 2026 · Talebpour, Alireza et al.
Caltrans Field Trials of the Intelligent Truck-Mounted Attenuator (ITMA) · 2026 · Torick, Dave et al.
Engineering Evaluation of Vehicle Maintenance Systems at the Directorate of Road Traffic Services (DRTS) Headquarters, Abuja, Nigeria ↗ · 2026 · Tunde, Tunde
Wearable biosensor monitoring of driver fatigue in intelligent transport systems: A systematic review and IoT framework · 2026 · Vovk, Yaroslav et al.
OpenLKA: An Open Dataset of Lane Keeping Assist Systems in Real-World Driving from Recent Production Cars ↗ · 2026 · Wang, Yuhang et al.
Use of travel time in a shared automated vehicle for work and leisure: Results from a field experiment with a Wizard-of-Oz simulator-on-wheels vehicle ↗ · 2026 · Öztürker, Maryna et al.
Driving with Partial Driving Automation Systems: Developing Effective Training that Drivers Will Use · 2025 · AAA Foundation for Traffic Safety
Evaluation of Remote Operation of Truck-Mounted Attenuator (Tma)-Equipped Shadow Vehicles for Use in Caltrans’ Operations · 2025 · Akbari, Ali et al.
Findings of a large-scale European naturalistic driving study: the i-DREAMS project. ↗ · 2025 · Al Haddad, Christelle et al.
Leveraging Naturalistic Driving Digital Biomarkers for Early Mild Cognitive Impairment Detection: Deep Learning Strategies (Preprint) ↗ · 2025 · Al-Hindawi, Firas et al.
Passenger Trust and Driver Workload Evaluation via Heart Rate Variability in Bus Services ↗ · 2025 · Ando, Hiroyasu et al.
A combined naturalistic driving, clinical, and neurobehavioral data set for investigating aging and dementia ↗ · 2025 · Blake, Matthew et al.
From Urban Data to City‐Scale Models: A Review of Traffic Simulation Case Studies ↗ · 2025 · Bochenina, Klavdiya et al.
Assessing drivers’ psychophysiological states using heart rate, electrodermal activity, and pupillometry in real-world driving ↗ · 2025 · Bosurgi, Gaetano et al.
Simulator and on-road testing of truck platooning: a systematic review · 2025 · Botelho, Telmo Costa et al.
Comparing Merging Behaviors of Drivers with Vehicles Equipped with Level 3 Automation and Connected Messaging when Merging in a Mixed Vehicle Fleet Environment of Various Traffic Densities · 2025 · Calvo, Jose et al.
YOLOv12-Based Driver Monitoring System: Real-Time Applications in ADAS · 2025 · Chaman, Mohammed et al.
The Formation of Trust in Autonomous Vehicles after Interacting with Robotaxis on Public Roads ↗ · 2025 · Chang, Xiang et al.
Risk-Aware Car-Following Behavior Characterization in Foggy Weather on Urban Expressways Using Naturalistic Driving Data ↗ · 2025 · Chen, Yanyi et al.
Review and prospect of floating car data research in transportation ↗ · 2025 · Zhang, Chi et al.
Development of a Stability Index for Evaluating Drivers’ Psychological Stability During Truck Platooning ↗ · 2025 · Cho, Hyonbae et al.
Enhancing safe driving through real-time driver monitoring using triboelectric energy harvesting and deep transfer learning ↗ · 2025 · Cho, Hyunwoo et al.
In-Vehicle Sensing Platform for the Inference of Older Drivers’ Mild Cognitive Condition ↗ · 2025 · Moshfeghi, Sonia et al.
An Open-Road Driving Performance Task to Examine Long-Term Medical Marijuana Use and Prescription Opioid Positivity Among Adults Aged 50 Years and Older: Protocol for an Observational Trial (Preprint) ↗ · 2025 · Ennis, Nicole et al.
Human Contributions to Safety Data Testbed Flight Simulation Study: Data Methods, Processing, and Quality · 2025 · Fettrow, Tyler et al.
Monitoring Technologies for Truck Drivers: A Systematic Review of Safety and Driving Behavior · 2025 · Fonseca, Tiago et al.
Real-World Observations and Human Factors Evaluation of AV Shuttle Operations · 2025 · Fox, Sarah et al.
The Impact of Electrification and Partial Automation on Driver Speeding Behavior ↗ · 2025 · Gershon, Pnina et al.
Open-Source Fleet Supervision for Real-World Multi-Vehicle Autonomous Driving ↗ · 2025 · Gontscharow, Martin et al.
Scaled commercial vehicle comparison with real-world measurements ↗ · 2025 · Gosar, Viral et al.
Design and Implementation of an Instrumented Motorcycle for a Naturalistic Driving Study in Indonesia ↗ · 2025 · Halim, Winda et al.
Lessons in Cooperation: Driver Sentiments Toward Real-Time Advisory Systems ↗ · 2025 · Hasan, Aamir et al.
The Influence of Advanced Driver Assistance Systems on Fatigue Development Among Long-Haul Truck Drivers · 2025 · Huang, Chunxi et al.
Pilot Application of Biometric-Based Vehicle Occupancy Detection on Managed Lanes for Congestion Reduction · 2025 · Hendricks, Sara J. et al.
Prevalence of high-risk behaviors among commercial motor vehicle drivers measured using artificial intelligence for naturalistic data collection ↗ · 2025 · Moran, Ryan et al.
The Effect of Advanced Driver Assistance Systems on Truck Drivers’ Defensive Driving Behaviors: Insights from a Preliminary On-Road Study ↗ · 2025 · Huang, Chunxi et al.
On-Road Evaluation of an Unobtrusive In-Vehicle Pressure-Based Driver Respiration Monitoring System ↗ · 2025 · Jain, Sparsh et al.
How to Reduce Work-Related Road Deaths? Driver Fatigue Monitoring – Case Study · 2025 · DAVIDOVIĆ, Jelica et al.
Investigation of Key Safety Measures for Pre and Post-Deployment of Connected and Automated Vehicles · 2025 · Kondyli, Alexandra et al.
Automated Record Keeping for Maintenance Operations via Tracking of Maintenance Vehicles Using Telematics Tracks [Summary] · 2025 · Krogmeier, James V. et al.
Road infrastructure support for highly automated driving · 2025 · Kulmala, Risto
Assessing Driving Risk Level: Harnessing Deep Learning Hybrid Model With Intercity Bus Naturalistic Driving Data ↗ · 2025 · Lee, Wei-Hsun et al.
Examination of General Motors Super Cruise system field effects using state police report crash data ↗ · 2025 · Leslie, Andrew J. et al.
Automated driving index study ↗ · 2025 · Li, Na et al.
Mobile app-based study of driving behaviors under the influence of cannabis ↗ · 2025 · Li, Honglu et al.
Study of Driver's Perception in Driving Tasks Based on Naturalistic Driving Experiments and fNIRS Measurement ↗ · 2025 · Li, Bilu et al.
Vehicle Trajectory Data Processing, Analytics, and Applications: A Survey ↗ · 2025 · Liu, Chenxi et al.
Automated CMV Inspection Demonstrations and Evaluations · 2025 · Ma, Jiaqi et al.
A Holistic Inquiry of Intelligent Speed-Assist Technology: Safety Impacts, Technology Implementation, and Challenges · 2025 · Machiani, Sahar Ghanipoor et al.
Testing Methods for Advanced Intelligent Driving Systems Based on Natural Driving Behavior Characteristics ↗ · 2025 · Mo, Jingyue et al.
Finding windows of opportunity: How drivers adapt to partial automation safeguards over time ↗ · 2025 · Mueller, Alexandra S. et al.
Automated Record Keeping for Maintenance Operations via Tracking of Maintenance Vehicles Using Telematics Tracks · 2025 · Naman, Anugunj et al.
User-Centric Metrics: Making the Business Case for Cooperative Driving Automation Investment ↗ · 2025 · Narasimhan, Mukundhan et al.
Automated Commercial Motor Vehicle Inspection Demonstrations and Evaluations [Technology Brief] · 2025 · NHTSA
Fast Lane - Exploring Human Behavior - Volume 21 · 2025 · NHTSA
Project Summary: Automated Truck Mounted Attenuator (ATMA) · 2025 · NHTSA
The Development of Teleoperated Driving to Cooperate with the Autonomous Driving Experience ↗ · 2025 · Noomwongs, Nuksit et al.
Evaluating Older Drivers’ Reaction to Forward Collision Warning (FCW) and Automated Emergency Braking (AEB) Systems Under Conditions of Distraction Using a Driving Simulator · 2025 · Olufowobi, Oluwaseun et al.
Safe Driving Is Sustainable Driving: An Interpretable Telematics Methodology ↗ · 2025 · Pinals, Lisa et al.
Assessing Fitness to Drive: an IoT-Based System Integrating Driver Emotions and Visual Distraction Metrics ↗ · 2025 · Rettori, Lucrezia et al.
Evaluating Driver Perceptions of Integrated Safety Monitoring Systems for Alcohol Impairment and Distraction · 2025 · Patibandla, RoshikNagaSai et al.
Assessment of Scalability and Adaptability in Federated Learning Framework for Robust Driver Stress Monitoring ↗ · 2025 · S, Arun Kumar et al.
Can Drivers Construct Accurate Mental Models of Autopilot? ↗ · 2025 · Salehi, Hugh et al.
Connected Autonomous Shuttle Supporting Innovation (CASSI) Program Development · 2025 · Searcy, Sarah et al.
Real-Time Driver Drowsiness and Distraction Detection Using Google ML Kit on Android Platforms ↗ · 2025 · Sharma, Shilpy et al.
Evaluating Older Drivers’ Reaction to Forward Collision Warning (FCW) and Automated Emergency Braking (AEB) Under Conditions of Distraction Using a Driving Simulation · 2025 · Shirani, Niloufar et al.
Field Testing of ADAS Technologies in Naturalistic Driving Conditions ↗ · 2025 · Skokan, Adam
CapMetro Ads Yard Automation Research and Deployment: Phase One · 2025 · Skolrud, Severin et al.
Beyond Breathalyzers: Towards Pre-Driving Sobriety Testing with a Driver Monitoring Camera · 2025 · Stent, Simon et al.
FMVSS Considerations for Vehicles with Automated Driving Systems: Volume 4 · 2025 · Stowe, Loren et al.
Learning from the real-world: Insights on light-vehicle efficiency and CO2 emissions from long-term on-board fuel and energy consumption data collection ↗ · 2025 · Tansini, Alessandro et al.
5G-Enabled Teleoperated Driving: An Experimental Evaluation · 2025 · Testouri, Mehdi et al.
Smarter Intersections Pilot Project Implementation Report · 2025 · Turnbull, Katie
Advanced Driver Assistance Systems in the Driver Training System in Hungary · 2025 · Ötvös, Viktoria et al.
Übersicht und Trends bei der Fahrer Überwachung ↗ · 2025 · Walter, Nalita et al.
Designing a Multi-Modal Vehicle Data Capture System for Forensic Accident Analysis · 2025 · Helmi, Wibowo et al.
Collection duration of driving tracking data of older drivers ↗ · 2025 · Yamagishi, Misako
Identifying High-Risk Situations in Right-Turn Phase of Heavy-Duty Vehicles Using Naturalistic Driving Data ↗ · 2025 · Zhang, Hedi et al.
Identifying Outcome Measures to Evaluate Drivers’ Knowledge of Vehicle Automation · 2024 · AAA Foundation for Traffic Safety
State of the Practice of Crash Reporting in the U.S. and Implications for CAV Safety Assessment · 2024 · Acharya, Sailesh et al.
Development of sleepiness in professional truck drivers: Real‐road testing for driver drowsiness and attention warning (<scp>DDAW</scp>) system evaluation · 2024 · Ahlström, Christer et al.
Technologies for detecting and monitoring drivers' states: A systematic review ↗ · 2024 · AL-Quraishi, Maged S. et al.
Autonomous Vehicles · 2024 · Kemeny, Andras
Autonomous Vehicles and Virtual Reality · 2024 · Kemeny, Andras
Aiding Automated Shuttles with Their Driving Tasks as an On-Board Operator: A Case Study on Different Automated Driving Systems in Three Living Labs · 2024 · Schrank, Andreas et al.
Framework for the evaluation of a holistic fitness-to-drive system for commercial drivers in the PANACEA project · 2024 · Dahlman, Anna Sjörs et al.
Privacy, Security, and Reliability for Urban Ambient Sensing with Sensor-Rich Autonomous Vehicles ↗ · 2024 · Aoki, Shunsuke
Drug-Impaired Driving Data Collection: Report to Congress · 2024 · Atkins, Randolph G. et al.
2022 CDA Annual Report · 2024 · Balse, Animesh et al.
Driving into the future: A scoping review of smartwatch use for real-time driver monitoring ↗ · 2024 · Barka, Roza Eleni et al.
Co-Benefits and Tradeoffs Between Safety, Mobility, and Environmental Impacts for Connected and Automated Vehicles ↗ · 2024 · Barth, Matthew
Enhancing Vulnerable Road User Safety at Signalized Intersections Through Cooperative Perception and Driving Automation: Final Report · 2024 · Bayartsengel, Misheel et al.
Assessing and Improving the Cognitive and Visual Driving Fitness of CDL Drivers · 2024 · Bhattacharya, Shelley B. et al.
Modeling a Heavy-duty Vehicle Data Collection Process for Authenticating Driver Identity and Analyzing Driver Behavior Under Duress ↗ · 2024 · Biggs, Tyler et al.
Tesla Autopilot Through Constructions: Investigating the Effect of On-Road Partially-Automated Driving through Construction Zones · 2024 · Biondi, Francesco et al.
Public Roads Vol. 88 No. 3 · 2024 · Burklund, Lonnie et al.
Driver Profiling and Bayesian Workload Estimation Using Naturalistic Peripheral Detection Study Data ↗ · 2024 · Caber, Nermin et al.
Reality Check: How Do Real-World Users Experience Current Automated Driving Systems? ↗ · 2024 · Manger, Carina et al.
Enhancing road safety: In-vehicle sensor analysis of cognitive impairment in older drivers · 2024 · Jan, Muhammad Tanveer et al.
Reliable but multi-dimensional cognitive demand in operating partially automated vehicles · 2024 · Lohani, M et al.
Using the ISO detection response task to measure the cognitive load of driving four separate vehicles on two distinct highways · 2024 · Biondi, FN et al.
Development of a Monitoring System for Driver Readiness in Prolonged Automated Driving · 2024 · Deb, Shuchisnigdha et al.
CAN-Modes: In-vehicle datasets generation and analysis in different driving situations ↗ · 2024 · Dos Santos Roque, Alexandre et al.
Towards Instrumented Fingerprinting of Urban Traffic: A Novel Methodology using Distributed Mobile Point-of-View Cameras ↗ · 2024 · Franchi, Matt et al.
Data Handling: Good Practices in the Context of Naturalistic Driving Studies ↗ · 2024 · Haddad, Christelle Al et al.
A Comparative Analysis of Lane Keeping Assist and Lane Departure Warning Systems on Curved and Straight Roadways ↗ · 2024 · Harrington, Shawn et al.
Vehicle-to-Everything (V2X) Deployer Resource · 2024 · Hatcher, S. Gregory et al.
Fatigue at the wheel: A non-visual approach to truck driver fatigue detection by multi-feature fusion ↗ · 2024 · He, Chen et al.
A Data-Informed Analysis of Scalable Supervision for Safety in Autonomous Vehicle Fleets ↗ · 2024 · Hickert, Cameron et al.
Descriptive and conceptual structure of naturalistic driving study research: A computational literature review ↗ · 2024 · Howell, Fletcher J. et al.
Visualization Analysis of Automated Motorway Driving Studies Based on Mapping Knowledge Domain ↗ · 2024 · Hu, Shixinyue et al.
Smart, Green, Equitable, Safe, Complete Streets for All - Phase I: Development of a CAV Testbed-enhanced Smart Campus at Morgan State University · 2024 · Jeihani, Mansoureh et al.
Driver Monitoring Systems in Automated Vehicles for the Older Population ↗ · 2024 · Jestin, Iris et al.
The PennSTART Safety Standards Project: Current Safety Standards and Test Track Designs for Connected and Autonomous Vehicles · 2024 · Jiang, Elaine et al.
New Brunswick Innovation Hub Smart Mobility Testing Ground · 2024 · Jin, Peter J. et al.
An Exploration of the Use of Artificial Intelligence for Enhanced Traffic Management, Operations and Safety · 2024 · Juri, Natalia Ruiz et al.
Evaluation of Kentucky’s Driver Focus Camera System · 2024 · Leddy, David et al.
Constructing a comprehensive assessment indicator set: an overview analysis of train driver performance indicators based on on-train-data-recorder (OTDR) data ↗ · 2024 · Li, Xiaoyu et al.
Developing a system for the real-time collection and analysis of mobile vehicle emission data ↗ · 2024 · Lin, Yin-Chen et al.
VOICES Cooperative Driving Automation (CDA) Proof-of-Concept Systems Integration Test 1 · 2024 · Lou, Yingyan et al.
Efficient Smartphone Sensor Analysis for Behavioral Profiling in Transportation Research: A Case Study of Driver and Passenger Classification · 2024 · Lozano, Wilson et al.
Implementation of Inductive Loop Signature Technology for Vehicle Classification Counts · 2024 · Minge, Erik et al.
Informed Safety, Mobility, and Driver Comfort Enhancement Practices for Work Zones: Learnings from High-Fidelity Data · 2024 · Mishra, Sabyasachee et al.
User Experience and Behavioural Adaptation Based on Repeated Usage of Vehicle Automation: Online Survey · 2024 · Mbelekani, Naomi Y. et al.
Fast Lane - Exploring Human Behavior - Volume 19 · 2024 · NHTSA
Public Roads Vol. 88 No. 2 · 2024 · NHTSA
A Statistical and Machine Learning Approach to Assess Contextual Complexity of the Driving Environment Using Autonomous Vehicle Data— Technology Transfer Activities · 2024 · Ogle, Jennifer H et al.
Characterizing Level 2 Automation in a Naturalistic Driving Fleet · 2024 · Perez, Miguel A et al.
Review of Technology to Prevent Alcohol-and-Drug Impaired Crashes: Update · 2024 · Pollard, John K. et al.
Study of road safety from the position of driver information load ↗ · 2024 · Pugachev, I. N. et al.
Infrastructure for the Extension of ODDs – applied in connected and aUtomated driving and Standardization procedures ↗ · 2024 · Reckenzaun, Jakob et al.
Physiological and psychological performance measurement for the practical driving test ↗ · 2024 · Rusch, Tobias et al.
Cooperative Driving Automation Alerts During Rainy Weather Conditions · 2024 · Sanchez, Robert et al.
Exploring the Effects of Vehicle Automation and Cooperative Messaging on Mixed Fleet Eco-Drive Interactions · 2024 · Sanchez, Robert et al.
Response to Emergency Vehicles When Driving in a Mixed Vehicle Fleet · 2024 · Sanchez, Robert et al.
Using Video Analytics to Automatically Annotate Driver Behavior and Context in Naturalistic Driving Data · 2024 · Sarkar, Abhijit et al.
ROStopbox: A Human-Centered Vehicle Environment Data Acquisition System ↗ · 2024 · Schneider, Daniel et al.
Advanced Driver Assistance System-Equipped Vehicle Datasets Collected in Central Ohio: Final Report · 2024 · Seitz, Timothy et al.
Surface Transportation System Funding Alternatives Phase II Evaluation: Washington State Transportation Commission Road Usage Charge Pilot · 2024 · Sethi, Sonika et al.
Real-Time Fatigue Monitoring System in Diverse Driving Scenarios ↗ · 2024 · Shajahan, Thasnimol Valuthottiyil et al.
Automated Vehicle and Pavement Marking Evaluation in Connecticut · 2024 · Shaon, Mohammad Razuar et al.
Deep InSight: A Driver-State Estimation Platform for Processing Naturalistic Driving Data · 2024 · Sharma, Anuj et al.
In‐fleet structural health monitoring of roadway bridges using connected and autonomous vehicles’ data ↗ · 2024 · Shokravi, Hoofar et al.
Targeted Warning Messages to Protect Moving and Stationary Maintenance Lane Closures · 2024 · Soltani, Iman et al.
Accelerating the Adoption of Advanced Driver Assistance Systems (ADAS): “Tech-Celerate Now” Phase 1 · 2024 · Staples, Barbara et al.
Older Drivers’ Use of Rearview Video Systems · 2024 · Staplin, Loren et al.
Comprehensive Assessment of Driver Monitoring System for Commercial Vehicle Applications Using Innovative Lab Testing Approach ↗ · 2024 · Sudarshan, BV et al.
Multimodal Dataset Construction and Validation for Driving-Related Anger: A Wearable Physiological Conduction and Vehicle Driving Data Approach ↗ · 2024 · Sun, Lichen et al.
Context-Aware Attention Encoder-Decoder Network for Connected Heavy-Duty Vehicle Aggressive Driving Identification Under Naturalistic Driving Conditions ↗ · 2024 · Tang, Kun et al.
A deep dive into enhancing sharing of naturalistic driving data through face deidentification ↗ · 2024 · Thapa, Surendrabikram et al.
Rural Older Adult Driver Tailored Research-Integrated Plan (ROAD TRIP) · 2024 · Wotring, Brian M et al.
Implementing and Assessing the Performance Evaluation Methodology of Urban Street Facilities for Motorized Vehicles in the Highway Capacity Manual Using Vehicle Trajectory Data ↗ · 2024 · Xu, Jianyuan et al.
An fNIRS dataset for driving risk cognition of passengers in highly automated driving scenarios · 2024 · Zhang, Xiaofei et al.
Prefrontal Correlates of Passengers’ Mental Activity Based on fNIRS for High-Level Automated Vehicles · 2024 · Zhang, Xiaofei et al.
A Multi-Method Approach to Understanding Drivers’ Experiences and Behavior Under Partial Vehicle Automation · 2023 · AAA Foundation for Traffic Safety
In-Vehicle Technology Use and Associated Factors Among Older Drivers · 2023 · AAA Foundation for Traffic Safety
MobiScout: A scalable cloud-based driving and activity monitoring platform featuring an IOS app and a WatchOS extension ↗ · 2023 · Adu-Gyamfi, Kojo Konadu et al.
Integrating Human Behavior Toward the Development of Safer Cooperative Automated Transportation: Implementation of SHRP2 Naturalistic Driving Study · 2023 · Ahmed, Mohamed et al.
Application of naturalistic driving data: A systematic review and bibliometric analysis · 2023 · Alam, Md Rakibul et al.
The Surface Accelerations Reference—A Large-Scale, Interactive Catalog of Passenger Vehicle Accelerations ↗ · 2023 · Ali, Gibran et al.
Interactive Traffic Management for Highly Automated Vehicles · 2023 · Alkim, Tom et al.
Implementation of a psychomotor vigilance test to investigate the effects of driving fatigue on oil and gas truck drivers’ performance ↗ · 2023 · Al-Mekhlafi, Al-Baraa Abdulrahman et al.
Deployment of a Preemption Based Motion Sickness Prevention Technology on a Testbed Vehicle in Mcity · 2023 · Awtar, Shorya
Evaluating effectiveness and acceptance of advanced driving assistance systems using field operational test · 2023 · Badweeti, Kasi Nayana et al.
Methodology for Field Operational Tests: updating the FESTA methodology for connected and automated driving pilots ↗ · 2023 · Barnard, Yvonne et al.
In-Vehicle Drowsy Driving Detection and Alerting [Traffic Tech] · 2023 · Blenner, Jordan A
Automated Vehicles and Adverse Weather Phase 3 – Final Report · 2023 · Boyapati, Rama Krishna et al.
Exploiting Big Data for Experiment Reporting: The Hi-Drive Collaborative Research Project Case ↗ · 2023 · Capello, Alessio et al.
Communication Needs and the Drivers’ Activity in Platooning Systems · 2023 · Neto, Catarina et al.
Validation of scenario-based virtual safety testing using low-cost sensor-based instrumented vehicle ↗ · 2023 · Cheok, Jun Hong et al.
0-7033: Defining Operational Design Domains (ODDs) for the Safe Blending of Levels 0-4 Connected and Autonomous Vehicles (CAVs) in the Traffic Streams · 2023 · Chin, Kristie et al.
Automated Vehicle Recommendations for Texas: A Study of Highway and Urban Operational Design Domains · 2023 · Chin, Kristie et al.
Sequence Analysis of Monitored Drowsy Driving ↗ · 2023 · Schwarz, Chris et al.
Study protocol for “In-vehicle sensors to detect changes in cognition of older drivers” · 2023 · Tappen, Ruth M. et al.
Driver behavior while using Level 2 vehicle automation: A hybrid naturalistic study · 2023 · Cooper, JM et al.
A multi-method approach to understanding drivers' experiences and behavior under partial vehicle automation · 2023 · Strayer, DL et al.
Transit Bus Automation Market Assessment · 2023 · Cregger, Joshua et al.
AutoExp: A Multidisciplinary, Multi-Sensor Framework to Evaluate Human Activities in Self-Driving Cars ↗ · 2023 · Crispim-Junior, Carlos et al.
Smart Connected and Automated Vehicle Fleet Management: Developing Regional Dispatch Decision Support for Congestion Mitigation · 2023 · Cummings, M et al.
A methodology to explore the road safety impact of fitness to drive solutions for commercial drivers: The PANACEA project · 2023 · Usami, Davide Shingo et al.