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Record W620218817

Time to Phase Out Toll Booths

2005· article· en· W620218817 on OpenAlex
Poole, W Robert

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueRCC's public works financing · 2005
Typearticle
Languageen
FieldEngineering
TopicTransportation and Mobility Innovations
Canadian institutionsnot available
Fundersnot available
KeywordsTollTransponder (aeronautics)Toll roadElectronic toll collectionStandardizationTransport engineeringInteroperabilityBusinessTelecommunicationsEngineeringComputer scienceWorld Wide Web
DOInot available

Abstract

fetched live from OpenAlex

This article discusses fully automated toll roads, also called cashless toll roads. The author briefly describes a project in Santiago, Chile, that consists of four major expressways which will eventually be the first fully automated urban tollway system. The fully automated toll collection is largely based on transponders (about 90% of users), but nontransponder users can purchase a day-pass. A violator is offered the opportunity to buy a late day pass and if that opportunity is not exercised, is fined $50. The author goes on the describe a similar model used for the past 5 years in Melbourne, Australia; a different style of open-road tolling in Toronto, Canada; and HOT (high occupancy toll) lanes in California, Texas, and Minneapolis. The author then addresses some of the concerns about fully phasing out all toll booths. These include the role of the toll collectors' unions, transponder penetration, transponder standardization, interoperability, and how to handle rural or occasional users. The author concludes with a brief discussion of the benefits of implementing cashless tolling, which include reduced costs, time savings to customers, and reduced emissions output from waiting in line.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.859
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)0.0010.002

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 head0.013
GPT teacher head0.239
Teacher spread0.227 · 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