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Record W2980155922 · doi:10.1049/iet-its.2019.0289

Development of platoon‐based actuated signal control systems to coordinated intersections: application in corridors in Houston

2019· article· en· W2980155922 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

VenueIET Intelligent Transport Systems · 2019
Typearticle
Languageen
FieldEngineering
TopicTraffic control and management
Canadian institutionsMcMaster University
FundersTexas Department of Transportation
KeywordsPlatoonSIGNAL (programming language)Traffic signalComputer scienceControl (management)Control systemTransport engineeringHighway systemEngineeringControl engineeringReal-time computingElectrical engineeringArtificial intelligence

Abstract

fetched live from OpenAlex

A signal control method considering platoon‐based actuation is presented with a focus on its application to two arterial corridors in the Houston Metropolitan Area, where the signal coordination is required for adjacent intersections. For the purpose of immediate implementation, the system was developed based on existing conventional loop detectors and control technologies used by Texas Department of Transportation. Simply based on volume and occupancy – the only traffic information reported by a conventional loop detector, it is impossible to precisely detect a platoon of vehicle approaching an intersection. As a compromise way, two specific logics were proposed to switch the system between the original coordinated control and the new platoon‐based actuated control systems. At one testbed suffering from large left‐turn traffic, the results revealed by the detector data before and after the implementation show that the model works well to relieve the delay for both left‐turn traffic and through traffic on the major road. On another testbed where the platoon‐based control is activated only when the through traffic is not high, some improvements were also observed. This method opens the door of wide application of the platoon‐based signal control system (simply based on conventional loop detectors) to arterial corridors.

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 categoriesMeta-epidemiology (narrow)
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 score0.305
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
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 head0.009
GPT teacher head0.199
Teacher spread0.190 · 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