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Record W4390203463 · doi:10.23977/jeeem.2023.060511

Study on Poor Ergonomics of the Brake Pedal of Passenger Vehicles

2023· article· en· W4390203463 on OpenAlexvenueno aff
Pang Qianyue, Chen Yike, Xiong Le

Bibliographic record

VenueJournal of Electrotechnology Electrical Engineering and Management · 2023
Typearticle
Languageen
FieldEngineering
TopicVehicle Dynamics and Control Systems
Canadian institutionsnot available
Fundersnot available
KeywordsAutomotive engineeringBrakeHuman factors and ergonomicsEngineeringComponent (thermodynamics)Computer scienceAeronauticsPoison controlTransport engineeringMedicineMedical emergency

Abstract

fetched live from OpenAlex

For a vehicle, the brake pedal is a crucial component, allowing control over the vehicle's braking system by pressing the brake pedal, thereby achieving deceleration or bringing the vehicle to a stop. If the brake pedal has poor ergonomics, preventing it from being pressed to its extreme position, it can lead to reduced braking efficiency, increased braking distance, uneven braking, driver fatigue, and other issues. This directly affects the vehicle's road safety, increases the risk of accidents, and poses a threat to the safety of both the driver and passengers. The paper systematically analyzes the main parameters contributing to this issue, proposes rectification suggestions, addresses the problem of inadequate pedal ergonomics, and provides ideas and references for solving such problems.

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: Empirical
Teacher disagreement score0.276
Threshold uncertainty score0.399

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.005
GPT teacher head0.187
Teacher spread0.182 · 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
Published2023
Admission routes1
Has abstractyes

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