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Record W647760812

Development of a Smart Corridor Strategy for Commercial Vehicles

2012· article· en· W647760812 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venue19th ITS World CongressERTICO - ITS EuropeEuropean CommissionITS AmericaITS Asia-Pacific · 2012
Typearticle
Languageen
FieldEngineering
TopicTransport Systems and Technology
Canadian institutionsnot available
Fundersnot available
KeywordsTransport engineeringTruckMinistry of TransportDestinationsPort (circuit theory)BusinessScheduleGateway (web page)Intelligent transportation systemTrainPrioritizationSoftware deploymentComputer scienceEngineeringTourismGeography
DOInot available

Abstract

fetched live from OpenAlex

In the Metro Vancouver area, heavy truck traffic associated with the Asia Pacific Gateway is anticipated to increase significantly over the next 10 years. In order to better cope with this trend, TransLink, in collaboration with Transport Canada, the BC Ministry of Transportation and Infrastructure, and Port Metro Vancouver initiated a study to devise a strategy for Intelligent Transportation Systems (ITS) implementation to improve the efficiency, safety and security of truck-related goods movement in the region by defining and planning the creation of “Smart Corridors”. These “Smart Corridors” will facilitate the transportation of goods between various regional points of entry and major destinations (such as inter-modal yards and logistics centres) in the Metro Vancouver area, and serve to alleviate existing and future issues related to commercial goods movement, as well as its effect on general purpose traffic. The study included identification of candidate applications and technologies and the formation of a staged implementation schedule by considering prioritization of corridors and ITS technologies, focusing on the most urgent needs in the most troubled areas and corridors, while considering various organizational issues and the stakeholders affected.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.812
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.042
GPT teacher head0.256
Teacher spread0.214 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it