Analysis of Driving Behaviour Under Different Disturbance Conditions Through Virtual Reality
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The efforts in pushing toward the electric mobility is enhancing improvements for batteries and vehicle performance to extend the range, making the Electric Vehicle (EV) a competitive couce alongside conventional Internal Combustion Engine vehi-cles. However, less efforts are spent to highlight the importance of changing the driving style, to avoid unpleasant drawbacks for battery durability and range drop. In this research, a psychologi-cal insight is provided to understand the pattern of driving styles which can affect the energy consumption while driving an Electric Vehicle. The experimental setup used to perform tests with 26 different users is provided through a Virtual Reality (VR) test bench, aimed to recreate a real trafficked route with both urban and highway paths. The psycological elements are provided to constitute the basis of the analysis, that is then illustrated through energy consumption assessment.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it