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Record W7043987013

Truck Parking Initiative : I-95 Corridor Coalition

2008· other· en· W7043987013 on OpenAlexaboutno aff

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.077
Threshold uncertainty score0.257

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0050.001
Scholarly communication0.0060.002
Open science0.0020.008
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0770.024

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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueRosa P: A digital library for transportation research (United States Department of Transportation)French-language works237,207