other
Dataset not in vocabulary. Note required.
20 papers carry this dataset tag, of 5322 that declare a dataset at all (62594 papers carry any topic). Absence here means undeclared, not absent.
Where this appears in the corpus
Most common topics
- dms validation6
- naturalistic crash near crash6
- induced exposure4
- simulator validity fidelity3
- causation analyses2
- distraction detection algorithms2
- incidence prevalence2
- situational awareness2
- telematics crash prediction2
- auditory1
- crash typology1
- distraction laws1
Papers
- Practical validation of synthetic pre-crash scenarios ↗ · 2026 · Wu, Jian et al.
- A Multidimensional Benchmark of Public EEG Datasets for Driver State Monitoring in Brain–Computer Interfaces ↗ · 2025 · Ammar, Sirine et al.
- Generating Synthetic Data for Electric Vehicle Charging Sessions: Modeling and Validation with Real-World Data ↗ · 2025 · Banik, Shampa et al.
- Empirical Research for Mixed Traffic Research · 2025 · He, Dengbo et al.
- Fully Synthetic Pedestrian Anomaly Behavior Dataset Generation in Metaverse for Enhancing Autonomous Driving Object Detection ↗ · 2024 · Aung, Nang Htet Htet et al.
- A Method of Generating a Composite Dataset for Monitoring of Non-Driving Related Tasks ↗ · 2024 · Wu, Xian et al.
- Advancing Dynamic Hand Gesture Recognition in Driving Scenarios with Synthetic Data · 2023 · Gomaa, Amr et al.
- MIMIC — Multidisciplinary Initiative on Methods to Integrate and Create Realistic Artificial Data · 2023 · Edara, Praveen K. et al.
- Multidisciplinary Initiative to Create and Integrate Realistic Artificial Datasets · 2023 · Edara, Praveen K. et al.
- Driver Maneuver Identification with Multi-Representation Learning and Meta Model Update Designs ↗ · 2022 · Tabatabaie, Mahan et al.
- Perspective, Survey and Trends: Public Driving Datasets and Toolsets for Autonomous Driving Virtual Test ↗ · 2021 · Ji, Pengliang et al.
- Synthetic Dataset Generation of Driver Telematics ↗ · 2021 · So, Banghee et al.
- Process for the Validation of Using Synthetic Driving Cycles Based on Naturalistic Driving Data Sets ↗ · 2020 · Esser, Arved et al.
- Realistic Artificial Datasets: Objective Evaluation of Data-Driven Safety Analysis Models · 2020 · NHTSA
- Is it Safe to Drive? An Overview of Factors, Metrics, and Datasets for Driveability Assessment in Autonomous Driving ↗ · 2019 · Guo, Junyao et al.
- Test Your Self-Driving Algorithm: An Overview of Publicly Available Driving Datasets and Virtual Testing Environments · 2019 · Kang, Yue et al.
- Unlimited Road-scene Synthetic Annotation (URSA) Dataset ↗ · 2018 · Angus, Matt et al.
- Personality versus traffic accidents; meta-analysis of real and method effects · 2017 · Wåhlberg, Anders af et al.
- The use of meta-analysis or research synthesis to combine driving simulation or naturalistic study results on driver distraction ↗ · 2014 · Caird, Jeff K. et al.
- Constructing a Mixed Methods Design to Explore the Older Driver—Copilot Relationship ↗ · 2009 · Vrkljan, Brenda H.