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Record W2111227923 · doi:10.1139/p11-129

Traffic flow controlled by synchronized traffic lights in an open and periodic boundaries system

2011· article· en· W2111227923 on OpenAlexvenueno aff
Abdelaziz Mhirech

Bibliographic record

VenueCanadian Journal of Physics · 2011
Typearticle
Languageen
FieldEngineering
TopicTraffic control and management
Canadian institutionsnot available
Fundersnot available
KeywordsPhysicsTraffic flow (computer networking)Flow (mathematics)Constant (computer programming)Statistical physicsSimulationMechanicsComputer scienceComputer network

Abstract

fetched live from OpenAlex

The traffic flow controlled by synchronized traffic lights on a single-lane roadway with open and periodic boundaries is studied. This study is based on a modified version of the Nagel and Schreckenberg (NaSch) (J. Phys. 1 (France), 2, 2221 (1992)) model recently proposed by Zhu et al. (Eur. Phys. J. B, 57, 103 (2007)) in parallel dynamics, which takes into account the sensitivity of drivers and vehicles. Five traffic lights are placed on the road at equal distances and are synchronized with a cycle time T. The density, flow, and (α, β) phase diagrams are established for different values of T, where α and β are the injecting and extracting rates, respectively, of cars in the traffic lane. In the deterministic NaSch model, the presence of signal lights on the road causes early onset of the high-density region. Additionally, it is shown that the low-density region shrinks with an increase in T, when T is less than a certain value. However, the modified NaSch model shows that the low density phase shrinks even more. Finally, in the presence of traffic lights, a comparison is made between the original NaSch model with a constant braking probability and the modified one.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.529
Threshold uncertainty score0.970

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.010
GPT teacher head0.182
Teacher spread0.172 · 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

Citations3
Published2011
Admission routes1
Has abstractyes

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