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Record W2167981124 · doi:10.5555/2431518.2431936

Integration of construction and traffic engineering in simulating pipe-jacking operations in urban areas

2011· article· en· W2167981124 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

VenueWinter Simulation Conference · 2011
Typearticle
Languageen
FieldEngineering
TopicBIM and Construction Integration
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsJackingTransport engineeringPlan (archaeology)SizingEngineeringTruckScheduling (production processes)Construction managementTraffic engineeringCivil engineeringSite planUrban planningRegional planningOperations management

Abstract

fetched live from OpenAlex

Construction and traffic are complementary to successful planning of microtunneling and pipe-jacking operations in urban areas. With increasing concerns on sustainable development, it is imperative to integrate construction engineering and traffic engineering in modeling in order to plan for efficient site operations while reducing the impact of construction upon traffic. In this research, we demonstrate a larger system simulation approach to effectively plan pipe-jacking operations in urban areas in considerations of (1) truck delivery routes and timing; (2) sizing and location of temporary laydown area on site; (3) traffic lane closure distance; and (4) working hours scheduling, aimed at minimizing the negative impact of construction on traffic. Our research goal is to deliver a temporary traffic arrangement plan along with an efficient site operations plan, thus keeping a balance between construction productivity and traffic mobility. A case study is given based on a pipe-jacking site in the urban area of Hong Kong.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.165
Threshold uncertainty score0.612

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 head0.026
GPT teacher head0.226
Teacher spread0.200 · 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