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Record W2324438375 · doi:10.3934/krm.2008.1.437

On Stop-and-Go waves in dense traffic

2008· article· en· W2324438375 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueKinetic and Related Models · 2008
Typearticle
Languageen
FieldEngineering
TopicTraffic control and management
Canadian institutionsUniversity of Victoria
FundersDeutscher Akademischer Austauschdienst
KeywordsQuantum nonlocalityConservation lawPhase spacePhysicsSpace (punctuation)Order (exchange)Traveling waveClassical mechanicsType (biology)Class (philosophy)Phase (matter)Mathematical analysisStatistical physicsMathematicsComputer scienceQuantum mechanicsEconomicsQuantumGeology

Abstract

fetched live from OpenAlex

From a Vlasov-type kinetic equation with nonlocal braking andacceleration forces, taken as a traffic model for higher densities,we derive macroscopic equations generalizing the second order modelof conservation laws suggested by Aw and Rascle [1] and Zhang[19]. The nonlocality remains present in these equations,but more conventional, local equations are derived by using suitableTaylor expansion. A second order model of this type is discussed insome detail and is shown to possess traveling wave solutions thatresemble stop-and-go waves in dense traffic. A phase space analysissuggests that inside the class of such traveling waves there aresteady solutions that are stable.

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.

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 score0.015
Threshold uncertainty score0.348

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 head0.172
Teacher spread0.163 · 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