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Record W624987439

ROUNDABOUT PERFORMANCE SAFETY, CAPACITY AND SIGNING

2000· article· en· W624987439 on OpenAlexaboutno aff
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Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicStructural Engineering and Vibration Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsRoundaboutPlannerTransport engineeringContext (archaeology)Intersection (aeronautics)Geometric designOperations researchEngineeringComputer scienceGeographyArtificial intelligence
DOInot available

Abstract

fetched live from OpenAlex

This paper was presented at the session titled 'Risk management in the roads sector - geometric design'. Modern roundabouts have been in widespread use in Europe and in Australia for many years; however, their introduction into North America came much later. Interest in roundabouts has grown rapidly in the United States during the past few years, but has only recently caught the attention of Canadian organisations. Many municipal engineers and even traffic experts are, however, reluctant to implement roundabouts. Roundabouts of the past, or rather traffic circles, had their share of critics, rendering their rebirth and the refocusing of interest in this area difficult. It is important to differentiate the modern roundabout from the traffic circle of the past. The objective of this paper is to distinguish the differences between the two and to eliminate misperceptions associated with roundabouts in terms of capacity and operating characteristics. To begin, an historical review of modern roundabout development is presented. Traffic experts often compare roundabouts to signalized intersections or to 4-way stop intersections. These three intersection types will be compared on several levels, focusing on safety, capacity, and how they fit into the urban planner's context. The results of well-accepted methods of capacity analysis will be presented. A few roundabouts designed for municipalities within the Montreal region will serve as references during this presentation, and their conceptual design plans will be given to those present. In conclusion, it illustrates the signing used in this first roundabout in Eastern Canada and will review its history. For the covering abstract of this conference see ITRD number E200883. (A)

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 categoriesInsufficient payload (model declined to judge)
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 score0.246
Threshold uncertainty score1.000

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)0.0010.000

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 head0.005
GPT teacher head0.158
Teacher spread0.152 · 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.

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

Citations0
Published2000
Admission routes1
Has abstractyes

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