ArticleNature communications2024
A matched case-control analysis of autonomous vs human-driven vehicle accidents.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Human-guided continual learning for multifaceted improvement of self-driving vehicles.Nature communications · 2026Article
- Embodied cognition-driven interpretable trajectory prediction of autonomous systems.Nature communications · 2026Article
- [Research on the classification method of unbalanced data for the assessment of traffic accident disability level].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2026Article
- Artificial intelligence in genomic medicine: dispelling three myths.NPJ genomic medicine · 2026Article
- Test case sampling optimization for safety validation of automated driving systems.Nature communications · 2026Article
- NeuroAction: a neuroevolutionary approach to reinforcement learning for autonomous vehicles.Scientific reports · 2026Article
- Winter Road Surface Condition Recognition in Snowy Regions Based on Image-to-Image Translation.Sensors (Basel, Switzerland) · 2025Article
- Linking traditional and technological activities of daily living: Building modern, adaptable measures of daily functioning.Journal of the International Neuropsychological Society : JINS · 2025Article
- DSC-LLM: Driving Scene Context Representation-Based Trajectory Prediction Framework with Risk Factor Reasoning Using LLMs.Sensors (Basel, Switzerland) · 2025Article
- Heart Rate Estimation Using FMCW Radar: A Two-Stage Method Evaluated for In-Vehicle Applications.Biomimetics (Basel, Switzerland) · 2025Article
- Knowledge-guided self-learning control strategy for mixed vehicle platoons with delays.Nature communications · 2025Article
- Analysis of safety risks in mixed driving of manual and automatic vehicles: multiple perspectives.PloS one · 2025Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite the recent advancements that Autonomous Vehicles have shown in their potential to improve safety and operation, considering differences between Autonomous Vehicles and Human-Driven Vehicles in accidents remain unidentified due to the scarcity of real-world Autonomous Vehicles accident data. We investigated the difference in accident occurrence between Autonomous Vehicles' levels and Human-Driven Vehicles by utilizing 2100 Advanced Driving Systems and Advanced Driver Assistance Systems and 35,113 Human-Driven Vehicles accident data. A matched case-control design was conducted to investigate the differential characteristics involving Autonomous' versus Human-Driven Vehicles' accidents. The analysis suggests that accidents of vehicles equipped with Advanced Driving Systems generally have a lower chance of occurring than Human-Driven Vehicles in most of the similar accident scenarios. However, accidents involving Advanced Driving Systems occur more frequently than Human-Driven Vehicle accidents under dawn/dusk or turning conditions, which is 5.25 and 1.98 times higher, respectively. Our research reveals the accident risk disparities between Autonomous Vehicles and Human-Driven Vehicles, informing future development in Autonomous technology and safety enhancements.
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