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Record W1965948533 · doi:10.7307/ptt.v25i3.296

Use of Video-Apparatus during Monitoring of Conflict Situations in Road Traffic on Roundabout in the Czech Republic

2013· article· en· W1965948533 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

VenuePROMET - Traffic&Transportation · 2013
Typearticle
Languageen
FieldEngineering
TopicTransportation Systems and Logistics
Canadian institutionsTransport Canada
Fundersnot available
KeywordsCzechRoundaboutTraffic conflictTraffic accidentTransport engineeringComputer scienceRoad trafficComputer securityFloating car dataEngineeringTraffic congestion

Abstract

fetched live from OpenAlex

The wrong behavior of the road traffic participants is a permanently discussed issue in many countries with advanced road transport. Such behavior doesn’t always result in traffic accident, but only in restriction or danger of the culprit or other participants. For monitoring the behavior problems we can for example use the video-analysis of the conflict situations. The methodology of the conflict situations monitoring with the video-apparatus application is described in the paper presented. There are also results of the conflict situations analysis on the selected roundabouts in the Czech Republic. The paper refers to suitability of the conflict situations video-analysis application not only for monitoring the wrong behavior of drivers and other participants of road traffic, but also for monitoring the inappropriately designed building elements (this hypothesis is confirmed by results of research, which are shown this article).

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.963
Threshold uncertainty score0.824

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.046
GPT teacher head0.254
Teacher spread0.208 · 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