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Record W564153679

Safety Evaluation of System Failures in Formation and Separation Processes of Automatic Platooning of Trucks

2013· article· en· W564153679 on OpenAlexaff
Rencheng Zheng, Kimihiko Nakano, Shigeyuki Yamabe, Yoshihiro SUDA

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicTraffic control and management
Canadian institutionsHatch (Canada)
Fundersnot available
KeywordsTruckAutomotive engineeringSeparation (statistics)EngineeringController (irrigation)SimulationComputer science
DOInot available

Abstract

fetched live from OpenAlex

In Energy-Saving Intelligent Transportation Systems (ITS) Technology Project of Japan, a reliable automatic platooning of trucks is a main objective in highway transportation. The application of a driving simulator is useful to evaluate driving safety of the automatic platooning, and thus a new truck driving simulator was constructed to reproduce truck dynamics and control. A full-scale cabin of truck was integrated into the driving simulator. And a gap distance controller for longitudinal and lateral directions was designed for the automatic platooning. On the assumption of system failures in the processes of formation and separation of the automatic platooning, driver behaviors for the emergency avoidance in a following truck were studied in the driving experiment using the truck driving simulator.

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 score0.138
Threshold uncertainty score0.138

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 head0.008
GPT teacher head0.219
Teacher spread0.210 · 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

Citations4
Published2013
Admission routes1
Has abstractyes

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