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Record W107955789

Feasibility of 2+1 Roads on Alberta Rural Highway Network

2009· article· en· W107955789 on OpenAlexaboutno aff
Rv Mcgregor, M M Hassan, Brian Kenny

Bibliographic record

Venue2009 ANNUAL CONFERENCE AND EXHIBITION OF THE TRANSPORTATION ASSOCIATION OF CANADA - TRANSPORTATION IN A CLIMATE OF CHANGE · 2009
Typearticle
Languageen
FieldEngineering
TopicForest Biomass Utilization and Management
Canadian institutionsnot available
Fundersnot available
KeywordsKilometerTransport engineeringSustainabilityTraffic congestionGeographyBusinessEngineering
DOInot available

Abstract

fetched live from OpenAlex

Over the last twenty years, European countries have built several thousand kilometres of in which an existing or new 13 to 14 metre wide, paved two-lane road segment (8 to 20 kilometres long) is re-striped into three traffic lanes, with the centre lane used as the passing lane in alternate directions. The European 2+1 roads serve traffic volumes from 6,000 AADT to 30,000 AADT. Many are quasi-freeways with grade separated access. At-grade intersections are discouraged; where they cannot be avoided, they are, as a rule, placed in the transition zone between adjacent alternating passing lanes. From the European experience, it is evident that the 2+1 road design aids in the economic, environmental and social sustainability of roads, because it: (a) reduces fuel consumption by improving the road's Level of Service by reducing platooning and congestion; (b) helps defer or avoid the need for road twinning; and (c) reduces the rate of fatal and serious injury collisions by an average 25 percent. The European 2+1 road design has not yet been implemented in North America. The objective of the study reported in this paper was to assess the feasibility of implementing the European 2+1 road concept on the rural Alberta highway network managed by Alberta Transportation (AT), and if found feasible, to propose a small number of segments for implementation.

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.

How this classification was reachedexpand

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.478
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.018
GPT teacher head0.222
Teacher spread0.204 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2009
Admission routes1
Has abstractyes

Explore more

Same venue2009 ANNUAL CONFERENCE AND EXHIBITION OF THE TRANSPORTATION ASSOCIATION OF CANADA - TRANSPORTATION IN A CLIMATE OF CHANGESame topicForest Biomass Utilization and ManagementFrench-language works237,207