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Record W7043987013

Truck Parking Initiative : I-95 Corridor Coalition

2008· other· en· W7043987013 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

VenueRosa P: A digital library for transportation research (United States Department of Transportation) · 2008
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsWork (physics)State (computer science)LimitingIntersection (aeronautics)Government (linguistics)Filter (signal processing)
DOInot available

Abstract

fetched live from OpenAlex

The I-95 Corridor Coalition is very pleased to submit this application for funding, through the Maryland State Highway Administration, under the Federal Highway Administration's (FHWA) Truck Parking Initiative. The Coalition is an alliance of transportation agencies, toll authorities, and related organizations, including law enforcement, from the State of Maine to the State of Florida, with affiliate members in Canada. The Coalition provides a forum for policy makers and transportation officials to address transportation management and operations issues of common interest. Our volunteer, consensus-driven organization enables state, local, and regional member agencies to work together to improve transportation system performance far more than they could working alone. The Coalition has served successfully as a model for multi-state/jurisdictional interagency cooperation and coordination since 1993. Our proposed project area is along one of the USDOT's recently designated Corridors of the Future, a segment of the I- 95 corridor extending from Connecticut through North Carolina. This stretch of the I-95 corridor passes through a number of the nation's most congested urban areas. The seven states comprising the project area are home to 130,000 active commercial motor carriers, or 18 percent of all interstate and hazardous materials carriers nationwide; tens of thousands of additional carriers domiciled outside the region operate in and through these states. In 2006, 14 percent of all large truck crashes nationwide occurred in the project area states. Truck parking in this region is a problem today. Alleviating the parking quagmire will enable commercial operators to better plan their urban deliveries, immediately contributing to achieving the goals of the USDOT's National Strategy to Reduce Congestion on America's Transportation Network. It will also make conditions safer for truck drivers and other travelers, reduce unnecessary fuel consumption, and improve the efficiency of commercial vehicle operations. The long-term, overnight parking problem in this area is especially severe. Commercial drivers seeking to comply with the Federal Motor Carrier Safety Administration’s Hours of Service regulations often park illegally on freeway shoulders when legal parking is either not available, or the location of available parking is not known. However, greater operational efficiency could also be realized by directing commercial drivers to available parking for shorter-term waits for port access and other loading/unloading operations.\n

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.042
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0000.001
Scholarly communication0.0000.003
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.055
GPT teacher head0.306
Teacher spread0.250 · 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