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Record W2052664482 · doi:10.3141/1833-11

Operation of Long Semitrailers in the United States

2003· article· en· W2052664482 on OpenAlexaff
Alan Clayton, Jeannette Montufar, Dan Middleton

Bibliographic record

VenueTransportation Research Record Journal of the Transportation Research Board · 2003
Typearticle
Languageen
FieldEngineering
TopicVehicle emissions and performance
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsTruckTransport engineeringInterviewContainer (type theory)Scope (computer science)EngineeringBusinessScale (ratio)Operations managementComputer sciencePolitical science

Abstract

fetched live from OpenAlex

The regulation and use of long semitrailers (57 to 60 ft) in the United States are discussed. Industrial information was obtained from interviewing 42 state and federal regulatory and compliance officials, vehicle manufacturers, motor carriers, and shippers. Field data from a June 2002 investigation of long semitrailer use on an Interstate highway section in Texas are presented. No known significant literature exists on the topic under discussion. The research found that long semitrailers operate, either regularly or under permit, in 19 states. They are principally used by a few large private and for-hire carriers, transporting mainly tissue paper, empty cans, hay, cotton, empty storage container drums, household goods, snack foods, and general freight. The extent of their operation is largely unknown or unclear to many of those involved with truck size and weight research and development activities, highway planners and designers, and industry participants. The following are addressed: ( a) issues about long semitrailer operation in the United States and the growth potential of these vehicles relative to the TRB Special Report 267 proposal to allow wide-scale use of six-axle tractor-semitrailers at a gross vehicle weight of 90,000 Ib; ( b) background on using long semitrailers; ( c) operational issues associated with long semitrailers; ( d) typical dimensional characteristics and cubic payloads of long semitrailers compared with standard semitrailers; ( e) field data on the use of long semitrailers in Texas; and ( f) regulations, permit requirements, and allowable geographic scope of operation for long semitrailers.

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)0.005
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.502
Threshold uncertainty score0.827

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.068
GPT teacher head0.353
Teacher spread0.285 · 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

Citations7
Published2003
Admission routes1
Has abstractyes

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