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Record W1488639404 · doi:10.14207/ejsd.2013.v2n4p51

On Determination of Pollution in Urban Junction, Caused by Vehicles

2013· article· en· W1488639404 on OpenAlexaff
Asllan Hajderi, Shkelqim Gjevori

Bibliographic record

VenueEuropean Journal of Sustainable Development · 2013
Typearticle
Languageen
FieldEngineering
TopicVehicle emissions and performance
Canadian institutionsMinistry of Transportation of Ontario
Fundersnot available
KeywordsPollutionRoundaboutEnvironmental scienceHeavy dutyEnvironmental engineeringAutomotive engineeringTransport engineeringEngineering

Abstract

fetched live from OpenAlex

In this study, given the determination of the pollution quantity from vehicles in an urbanjunction in order to reduce the pollution level and fuel. The pollution caused by vehicles,it is taken based on production years within the EC directives. Types of vehiclescirculating are determined based on vehicles state, divided by production years and thetype of engine.For urban junction with roundabout "Zogu Zi", they are performed measurements ofvehicles number, that move in an hour, describing way with slowly and relevant time. Forthis junction it is calculated vehicle speed at the junction and pollution quantity isconverted to g/min and then it is determined the pollution quantity per hour for existingstate of vehicles divided into 5 groups, according to pollution level. For practicalapplication, only vehicles manufactured after 2000 in circulation, it results that can beachieved a pollution reduction at the junction up to 3 times. To realize this, it is proposedthe removal of customs duty for vehicles manufactured after 2001 and establishment ofadditional environmental tax, proportional to the pollution degree for vehicles incirculation.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.006
GPT teacher head0.182
Teacher spread0.176 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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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