MétaCan
Menu
Back to cohort
Record W603848625

ITS Deployment in Johannesburg

2010· article· en· W603848625 on OpenAlexaboutno aff
Bowen Tritter, Victor Bruzon

Bibliographic record

Venue17th ITS World CongressITS JapanITS AmericaERTICO · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicTransportation Planning and Optimization
Canadian institutionsnot available
Fundersnot available
KeywordsSoftware deploymentProcurementEvent (particle physics)CorporationBusinessRoad mapTransport engineeringOperations managementEngineeringGeographyMarketingFinanceCartography
DOInot available

Abstract

fetched live from OpenAlex

South Africa hosts the 2010 FIFA World Cup, considered to be the world’s premier sporting event. As well as preparations for the events themselves, improving the transportation network is a priority. Included among the initiatives, the City of Johannesburg is implementing a bus rapid transport system in primarily an exclusive median, and Intelligent Transport Systems (ITS) throughout the City. The ITS systems being deployed are part of a developed and coherent ITS Road Map prepared by Stewart Scott International (SSI), South Africa and Delcan International Corporation (Delcan), Canada to meet the requirements and needs for this important event and beyond. In this paper the authors will provide an overview of Johannesburg ITS integrated deployment from the early conception associated with the development of the ITS Road Map up to current implementation status including a review of the needs, the approaches considered and the technology and systems implemented. The paper will also present the procurement approaches and procurement options which were analyzed and finally implemented in Johannesburg including the challenges faced during the deployment and how these challenges have been managed.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.507
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
Bibliometrics0.0000.002
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 head0.021
GPT teacher head0.300
Teacher spread0.279 · 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 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

Citations1
Published2010
Admission routes1
Has abstractyes

Explore more

Same venue17th ITS World CongressITS JapanITS AmericaERTICOSame topicTransportation Planning and OptimizationFrench-language works237,207