MétaCan
Menu
Back to cohort
Record W4389503154 · doi:10.1016/j.trf.2023.10.028

Impact of roadside advertisements near traffic signs on driving safety

2023· article· en· W4389503154 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

VenueTransportation Research Part F Traffic Psychology and Behaviour · 2023
Typearticle
Languageen
FieldPsychology
TopicSafety Warnings and Signage
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsDistractionDriving simulatorAffect (linguistics)PsychologyDangerous drivingPosition (finance)Distracted drivingApplied psychologySimulationComputer scienceCognitive psychologyCommunicationBusiness

Abstract

fetched live from OpenAlex

A common distraction that affects drivers on the road is billboards. It can substantially impact how well drivers manage their speed, maintain their lanes, focus their attention, and react to stressful situations. When the billboards are placed next to vital traffic signs, they negatively affect drivers, impairing their ability to recognize these signs visually and, more significantly, altering their driving behavior. In this case, the impact of billboards on drivers is mainly influenced by two critical factors: billboard size and relative position to the traffic signs. In this study, a driving simulator was used to study the influence of these two factors on drivers. For this purpose, the eye movement, EEG and driving behavior data of drivers under different combinations of these two factors were collected. The data were analyzed and comprehensively evaluated using a two-factor repeated measure variance analysis and matter-element model. The results provided three main conclusions. First, the driver's ability to recognize signs and driving behavior are significantly influenced by the size of the billboard, and the impact is higher the smaller the billboard is. Second, the relative anteroposterior position of the billboard and the signboard significantly affects how people recognize signs and behave while driving. The driver was more affected by the billboard's placement in front of the signboard. Third, the drivers were impacted by the billboard size and relative anteroposterior position between signs and billboards. However, the influence of the relative anteroposterior position was more than that of the size. Based on the study's findings, some guidelines for billboards to avoid accidents in the actual world can be developed. First, when positioning billboards around significant signs, every attempt should be made to put the billboard behind the sign so that the driver may first finish identifying the sign. Second, to minimize the impact on drivers, a large billboard (8 m x 24 m), placed as far away from the sign, should be used wherever possible. Finally, it is vital to develop uniform regulations and norms for the size standards of billboards in various settings due to the vast variations in billboard sizes used in China.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.201
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.097
GPT teacher head0.454
Teacher spread0.357 · 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