Relationship Between Brain Activity and Real-Road Driving Behavior: A Vector-Based Whole-Brain Functional Near-Infrared Spectroscopy Study
DOI: 10.17077/drivingassessment.1609
archive: archived pipeline: cataloged verified
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Summary
This study addresses the lack of objective, bias-free methods for assessing human factors in real-road driving. While traffic safety depends heavily on driver cognition and behavior, previous research relied on subjective self-reports or limited prefrontal cortex measurements. The authors aimed to identify specific brain regions associated with steering and accelerator pedal motion using whole-brain functional near-infrared spectroscopy (fNIRS), which allows for real-time, non-invasive monitoring in vehicle environments. Six healthy adult drivers participated in the experiment, driving a test vehicle along a 1.75-km section of a test track featuring several turns. Brain activity was measured using a 98-channel fNIRS system covering the frontal, parietal, and occipital lobes. The researchers calculated cerebral oxygen exchange (COE) as a metric for neural activity, deriving it from changes in oxyhemoglobin and deoxyhemoglobin concentrations. Driving behaviors, including steering angle, accelerator stroke, and speed, were recorded via GPS and controller area network data. To analyze the relationship between brain activity and behavior, the data were normalized to travel distance (every 1 meter) and averaged across subjects. Principal component analysis (PCA) was applied to the 98-channel COE data to extract factors, and cosine similarity was used to identify which brain activity factors correlated with specific driving behaviors. The analysis extracted 16 COE factors. Two factors (Factor 1 and Factor 5) showed significant similarity with steering motion. Mapping analysis revealed that these factors were primarily associated with high activity in the frontal lobe, specifically Brodmann areas (BAs) 9 and 8, as well as BA 4/3. In contrast, Factor 6 exhibited similarity with accelerator pedal motion, with the highest principal component loading observed in the right parietal lobe (BA 7). No significant similarity was found between any COE factors and speed control. These findings indicate that steering behavior is predominantly linked to frontal lobe activation, while accelerator operation is associated with parietal lobe activity. The study concludes that fNIRS is a viable tool for detecting real-time brain activity related to specific driving maneuvers. By identifying the distinct cortical regions involved in steering and acceleration, the research provides a basis for optimizing fNIRS measurement sites in future driving assessments. This approach offers a method to evaluate driver reactions objectively, potentially aiding in the development of improved traffic safety measures and road environments.
Provenance
The full processing record for this entry. Every stage of this paper's journey through the pipeline is logged — what ran, with which tool and model, how many attempts it took, and when it last completed.
| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | Crossref | — | — | 1 | 2026-08-09 |
| archive | success | canonical_url | — | — | 1 | 2026-08-09 |
| extract | success | cached | — | — | 3 | 2026-08-10 |
| clean | success | clean | — | — | 1 | 2026-08-09 |
| chunk | success | chunk | — | — | 1 | 2026-08-09 |
| embed | success | embed | Qwen/Qwen3-Embedding-8B | — | 1 | 2026-08-09 |
| enrich | failed | — | — | — | 1 | 2026-08-09 |
| promote | success | — | — | — | 1 | 2026-08-09 |
| summarize | success | llm | qwen3.6-27b-nvidia | summ-v5 | 2 | 2026-08-10 |
| tag | success | vector_similarity | — | — | 10 | 2026-08-11 |
| verify | partial | — | — | — | 2 | 2026-08-10 |
Summary generated by qwen3.6-27b-nvidia on 2026-08-10; verification: verified_with_issues.
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- Empirical Findings: physiological data
- Theoretical Contribution: computational model