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Operating Speed Based Criteria for Design Consistency Evaluation on Motorways in China

2013· article· en· W2044010419 on OpenAlexaff
Hua Chai, Jun Xie, Xiao Lei Zhao

Bibliographic record

VenueApplied Mechanics and Materials · 2013
Typearticle
Languageen
FieldEngineering
TopicEvaluation and Optimization Models
Canadian institutionsMinistry of Transportation of Ontario
Fundersnot available
KeywordsOperating speedConsistency (knowledge bases)AdaptabilityTransport engineeringDesign speedChinaDifferential (mechanical device)Computer scienceEvaluation methodsEngineeringReliability engineeringCivil engineeringArtificial intelligenceGeography

Abstract

fetched live from OpenAlex

Operating speed is the final presentation of vehicles influenced by integration of highway geometric alignment, road environment, vehicle performance as well as drivers behavior; moreover, the larger speed differential between two consecutive segments is, the worse the design consistency of the section will be, where the probability of traffic accidents will be higher. In this paper, the existing operating speed based criteria for evaluation of design consistency are reviewed, however without comprehensive verification and calibration of the criteria in China, the adaptability and effectiveness of the criteria cannot be verified. The more personalized criteria for China highways are needed. The theoretical analysis of various operating speed based evaluation methods were put forward in order to decide the more localized evaluation method in China; afterwards, a traffic accident based analysis of different road sections of a motorway in northeastern China are put forward in order to verify the critical nominal road segments for road safety audit. Both of the operating speed and traffic accident resources of the verified road segments have been collected from the selected motorway. By applying graphic-arts technique and statistical analysis method, the operating speed based design consistency criteria were developed.

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)0.007
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.050
GPT teacher head0.278
Teacher spread0.228 · 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 designSimulation or modeling
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

Citations3
Published2013
Admission routes1
Has abstractyes

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