Étude de l’impact de l’implantation d’une voie dynamique réservée aux véhicules à occupation multiple : modélisation analytique et numérique du cas d’étude lyonnais
Bibliographic record
Abstract
Les voies de covoiturage sont une des solutions a court terme pour reduire la congestion urbaine dans les grandes metropoles. Elles sont implantees depuis une vingtaine d’annees dans des pays comme les Etats-Unis, le Canada ou encore l’Australie. La Metropole de Lyon, dans le cadre du declassement de l’axe autoroutier A6-A7 qui la traverse du Nord au Sud, reflechit a se doter d’une voie de covoiturage, activee de maniere dynamique aux heures de pointe, pour pallier la forte congestion visible sur l’axe aux heures de pointe. Afin de determiner un perimetre et une duree d’activation coherents, il est necessaire de mener une etude d’impact dans la phase avant-projet. Le LICIT, en synergie avec l’Institut de Recherche technologique SystemX, sont les entites responsables de l’etude. Une representation theorique a l’aide de modeles d’ingenierie du trafic sera effectuee, suivie d’une etude en simulation du cas d’etude. Les resultats seront ensuite compares.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".