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Record W2008807926 · doi:10.1115/imece2013-62314

Benchmark Investigation of Dynamics Models for Design Optimization of Articulated Heavy Vehicles

2013· article· en· W2008807926 on OpenAlexaff
Md Manjurul Islam, Yuping He

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicVehicle Dynamics and Control Systems
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsTractorBenchmark (surveying)Vehicle dynamicsYawArticulated vehicleLinear modelComputer scienceDegrees of freedom (physics and chemistry)FidelitySoftwareControl theory (sociology)EngineeringAutomotive engineeringArtificial intelligencePhysics

Abstract

fetched live from OpenAlex

This paper represents validation of yaw plane and yaw-roll models of a tractor/semitrailer combination with TruckSim software package. A linear 3 degree-of-freedom (DOF) yaw-plane model and a linear 5 DOF yaw-roll model of tractor/semitrailer have been generated, compared and evaluated. This paper investigates the applicability of vehicle models with linear tire model. The models of the articulated heavy vehicle (AHV) yield excellent simulation results which are validated by comparing the simulation results obtained from TruckSim. This paper also includes eigenvalue analysis of the models to estimate their unstable motion modes. Benchmark comparison of the models has been performed to investigate the fidelity, complexity and applicability.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.741
Threshold uncertainty score0.293

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 head0.011
GPT teacher head0.176
Teacher spread0.165 · 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 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

Citations0
Published2013
Admission routes1
Has abstractyes

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