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Record W1982085667 · doi:10.1115/jrc2008-63010

The TRAXX Platform: A New Way to Build Electric and Diesel Locomotives

2008· article· en· W1982085667 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

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicTransportation Systems and Safety
Canadian institutionsBombardier (Canada)
FundersEuropean Commission
KeywordsStandardizationEngineeringAxleAutomotive engineeringTransport engineeringTraction control systemManufacturing engineeringComputer scienceMechanical engineering

Abstract

fetched live from OpenAlex

The opening of the European market for freight and passenger services has initiated the need for cross-border locomotives which fulfill the specific requirements of each country and comply with new European standards. The TRAXX locomotive platform addresses this new market with four locomotive types. Each type is configured with standard building blocks. The TRAXX platform covers both electric and diesel 4-axle locomotives. A high level of standardization allows manufacturing of all types in a single assembly line, thus also reducing manufacturing costs for small production lots. The key to the TRAXX platform is a high level of system integration. Important innovations are in the traction chain, carbody, air supply, in the development of automatic train protection (ATP) systems based on the future European standard ETCS (European Train Control System) and in system integration. Today, the TRAXX platform covers all major mainline traction needs in continental Europe with more than 1′200 locomotives so far sold. Further developments are needed to optimize the ATP systems for new and important cross-border freight corridors and to streamline the homologation procedures throughout Europe.

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: none
Teacher disagreement score0.890
Threshold uncertainty score0.210

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)0.0000.000

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 head0.020
GPT teacher head0.226
Teacher spread0.206 · 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

Quick stats

Citations1
Published2008
Admission routes1
Has abstractyes

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