Managing traffic complexity. Canadian transport planning software package Emme, 1970s–2010s
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
Based on a variety of primary sources, ranging from academic publications to grey literature to interviews, this article tells the story of Emme, a traffic forecasting software package. Designed as a prototype within the University of Montreal in the late 1970s/early 1980s and regularly enhanced by the Canadian firm INRO since then, Emme has been massively used as a commercial product for urban transport planning throughout the world. Bringing to the fore a much neglected, albeit crucial, theme in transport and mobility studies, i.e., the various mathematical tools (models) – and the actors involved in their production – conceived and utilized for designing transport infrastructures and mobility programs and policies, this article may also be of interest to scholars working in fields other than transport and interested in a series of topics ranging from the increasing commercialization of academic knowledge to the organization of knowledge intensive firms.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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