iMove® - Metro Vancouver's New Integrated, Multi-Modal Web Portal for Traveller Information
Bibliographic record
Abstract
The paper describes the iMove® project, a “one-stop” transportation portal designed to provide multi-modal, multi-jurisdiction, real-time and static traveler information via the World Wide Web. The iMove website enables transportation consumers in Metro Vancouver to quickly access information on a host of transportation issues, including transit and cycling routes, construction and event information, current incidents, airline arrivals and departures, border crossing wait times, ferry sailing time and loadings, all from a single source. Visitors to the site have access to over 125 webcams to access current road conditions on major regional corridors and at key locations. The authors discuss the use of ITS Corporation’s structure to bring together the efforts of many existing regional agencies in the Vancouver area to create a unified multi-modal traveler information service which bundles information to cater for the needs of specific user groups. The design of the iMove® system is in conformance with the Canadian ITS Architecture and NTCIP and ITE ITS data and interface standards. The authors conclude that the iMove® service allows road users to avoid incidents and municipal construction zones, minimizing congestion to reduce accident potential thereby improving overall road safety.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.026 | 0.011 |
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".