Dynamic Modelling of Docking Autonomous PODs in Tandem Configuration
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
An adaptable transportation concept is proposed; comprising a fleet of autonomous PODs that can merge and separate based on passengers’ demand. The purpose is to match the number of seats with the number of passengers, thereby reducing vehicle size and energy consumption. It enables passengers’ in-person communication and simultaneous arrival. Since each POD has its own motor, if full power is not needed, one of the motors can be turned-off to save energy. The merging process is investigated so as to find the safe docking speeds when two PODs merge in tandem configuration. If the docking is not done at the right speed, it may cause damage to the vehicle, or else be inefficiently slow. The PODs are represented by finite element models, which are simulated to determine the safe merging speeds. The speeds are determined for different docking scenarios and POD materials; ranging from 1.4-16 km/h. The safe speeds depend on the type of material and adopted damage criterion; Nonmetallic materials showed higher tolerance than metallic materials in response to docking impact. As a recommendation for future work, other materials and configurations can be investigated, and the effect of the proposed system on traffic conditions can be evaluated.
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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