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Record W617024388

Lessons Learned from the TRANSED 2007 Conference

2007· article· en· W617024388 on OpenAlexaboutno aff
Verónica Gil

Bibliographic record

Venue23RD PIARC WORLD ROAD CONGRESS PARIS, 17-21 SEPTEMBER 2007 · 2007
Typearticle
Languageen
FieldNeuroscience
TopicTactile and Sensory Interactions
Canadian institutionsnot available
Fundersnot available
KeywordsSignagePedestrianCountdownTransport engineeringPedestrian crossingContext (archaeology)VisibilitySchema crosswalkLegibilityComputer scienceTelecommunicationsEngineeringGeographyAdvertisingBusiness
DOInot available

Abstract

fetched live from OpenAlex

The 11th International Conference on Mobility and Transport for Elderly and Disabled Persons (TRANSED 2007) was held June 18-22, 2007, at the Palais des congres de Montreal under the theme Benchmarking, Evaluation and Vision for the Future. The infrastructure of these various modes of transportation, without which they could not be accessible, was one of the issues raised at this conference. The rapidly aging population in industrialized societies must be taken into account when planning infrastructure and facilities. Therefore, several sessions dealt specifically with pedestrian accessibility, readability and clarity of signage, road markings and lighting, in the context of international experience. The suggested improvements focused on slower pedestrians, such as seniors, and consisted of changes to road infrastructure to calm traffic (narrowing the road, refuge islands, changes to the surface of the road, speed bumps), improve pedestrian visibility (flashing green light, large visible signs indicating pedestrian crossings, etc.) and simplify and extend the crossing phases (e.g. pedestrian detectors). Finally, extending the sidewalks at intersections to the edge of the parking spaces was suggested to make it easier for pedestrians to see and be seen, as well as decrease crossing time. New safety-based designs for audible signals for people who are blind or visually impaired were presented. These include on-site or remote user activation, a push-button audible location device, tactile repeaters, and a melodic audio signal (rich in harmonics). Other details, such as alternating the audio signal on either side of the intersection and installing the equipment on the poles closest to the corners, would also help pedestrians head in the right direction before and while crossing. In addition, lowering the curb to make it more accessible to people with reduced mobility creates an obstacle for people with visual impairments by making it more difficult for them to feel where the curb is. To compensate, changes in surface texture (tiles with textured lines, texture stamped into cement, different types of domes, etc.) are used as reference points by blind pedestrians; research into the effectiveness and safety of warning tiles in the winter, as well as which tiles work best in these conditions, is ongoing. In order to make it possible to safely cross at intersections without audible signals, the development of automated systems to assist people who are blind, visually impaired, or have reduced mobility, using information already available in the infrastructure (Pedestrian Information and Communication Systems (PICS), Visible Light Communication (VLC)) is very promising. Research is also being conducted on systems that integrate several types of data (GPS, mapping accessible points, etc.) in order to determine the best itinerary to follow. It was also shown that it is important to make designers, contractors, and maintenance workers aware that they should not neglect elements such as access to and choice of accessible parking spaces, temporary or permanent barriers (news stands, benches, snow, garbage, etc.), and the location and design of bus stops and shelters, which can also be a major barrier for elderly and disabled persons. This conference reviewed international advances in transportation mobility infrastructure and will help implement future solutions that will promote independence for all. For the covering abstract see ITRD E139491.

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 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), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.650
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0190.004

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 head0.104
GPT teacher head0.347
Teacher spread0.243 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2007
Admission routes1
Has abstractyes

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