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Record W2244191468

REDUCED SIGHT DISTANCE ON EXISTING RURAL ROADS. HOW CAN WE DEFEND IT

2003· article· en· W2244191468 on OpenAlexaboutno aff
R Cox

Bibliographic record

VenueProceedings of the 21st ARRB and 11th REAAA Conference. Transport. Our Highway to a Sustainable FutureARRB Group Limited · 2003
Typearticle
Languageen
FieldEngineering
TopicInfrastructure Maintenance and Monitoring
Canadian institutionsnot available
Fundersnot available
KeywordsSightTransport engineeringHorizontal and verticalSection (typography)Quality (philosophy)EngineeringComputer scienceGeographyGeodesy
DOInot available

Abstract

fetched live from OpenAlex

This paper presents the results of research by the Queensland Department of Main Roads on sight distance issues as related to existing roads. The research was carried out in conjunction with the development of the Department's Road Planning and Design Manual. There are many sections of road in Queensland that have generally suitable horizontal geometry by virtue of the design practices or standards that were used when they were designed in the 1940's, 1950's and early 1960's. However, the vertical geometry often contains some crest vertical curves that are deficient in terms of current design standards: standards that have existed since the mid 1960's. At the same time, the vehicle speeds on many of these roads are significantly different from those assumed at the time of design. But, there is usually no accident history at the places that have deficient sight distance. Given the satisfactory operation of these roads, restoration has usually been favored over realignment in an era of restricted road funding. However, the design process must also ensure that the restoration does not change driver perceptions of the road to the extent that operation is compromised anywhere. Restoration is defined as works that improve the cross section and riding quality of a road but do not involve any change in the horizontal or vertical alignment. This situation is common to most developed countries. The effect of sight distance on existing roads has been well researched overseas; in particular in the USA and Canada. This has been researched from as early as 1953 when it was found that drivers were overdriving crests that had been designed for the lower performance that vehicles had some 20 to 40 years earlier. Together, the USA and Canadian research indicates that there does not seem to be a problem as long as there is about 100m of sight distance and there are no intersections. The Canadian Design Manual is the only known 'primary road design manual' that formally recognizes this factor for restoration treatments for roads. In the USA, restoration is covered in a separate document to the primary AASHTO policy on geometric design. Overseas research to determine a link between accident rates and sight distance has been largely inconclusive. The Queensland Department of Main Roads formalized the use of sight distance for crests on existing roads in 1981. As in the USA, this was done in a separate document to the primary design guide. This used a reduced maneuver sight distance model. However, no explanation of the key maneuver time parameter was given. Nor was the operation of large commercial vehicles explicitly covered. Given the increasing need to be able to defend road geometry, this paper proposes how sight distance may be defended in terms of the intent of the sight distance standards for a new road. This is because any case of sight distance will inevitably be compared with the standard for a new road (in other words, what is done now). An extreme case of the maneuver sight distance model is used as an example.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.004
Scholarly communication0.0030.004
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0120.002

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 head0.011
GPT teacher head0.203
Teacher spread0.192 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations2
Published2003
Admission routes1
Has abstractyes

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