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Record W561288374

Incidence of Speed on Risk of Severe Injuries or Fatalities During Collisions on Urban Roads

2007· article· en· W561288374 on OpenAlex
Michel Gou, Olivier Bellavigna-Ladoux

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

VenueTransportation Research Board 86th Annual MeetingTransportation Research Board · 2007
Typearticle
Languageen
FieldEngineering
TopicTraffic and Road Safety
Canadian institutionsnot available
Fundersnot available
KeywordsSpeed limitCollisionTransport engineeringEngineeringComputer scienceComputer security
DOInot available

Abstract

fetched live from OpenAlex

All stakeholders seem to agree that speed is one of the main causes of road collisions. Thus road safety experts determine speed limits based on road environment. The present study aims at validating the 50 kph legal speed limit in urban environment in the province of Quebec, Canada, and to quantify the risk to be involved in a collision with fatal or serious injuries when this limit is exceeded. In this study, reconstruction of collisions with fatal or serious injuries on urban roads of the city of Montreal was carried out. The study encompassed 39 collisions which occurred on roads with posted speed limit of 50 kph during the years 2001 and 2002. The selected collisions had to satisfy a number of criterion allowing to eliminate masking effect such as alcohol and illegal maneuver. The majority of cases were fatal collisions while the remaining cases involved life threatening injuries. In order to evaluate the relative risk of being involved in a collision with fatal or serious injuries, the traveling speed of 4 control vehicles was recorded. These vehicles were then traveling at free speed on the same road, under similar weather conditions, and at same time of day as the vehicle case. Fifty kph speed reduction scenarios were applied to the collisions for which the case vehicle speed exceeded the legal limit. This made possible the determination of the effect of excessive speed on collisions with fatal or serious injuries. Results of the study show that if the drivers had followed the 50 kph limit, there would have been a reduction of 44 % in the total number of collisions with a reduction of 83 % of frontal collisions, 33 % of side collisions and 23 % of collisions with pedestrians. The results also show that the relative risk of being involved in a collision with fatal or severe injuries is greatly increased at speeds exceeding the legal limit, with a multiplicative factor of 81 at travelling speeds above 80 km/h. Global data shows quite clearly that the legal speed limitation of 50 kph in an urban environment constitutes a valid reference in terms of collision injury reduction and overall road safety.

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.386
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.002
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 head0.034
GPT teacher head0.341
Teacher spread0.307 · 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