| Segmentation of lines based on point densities--an optimisation of wildlife warning sign placement in southern Finland. | |
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MedLine Citation:
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PMID: 16857156 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Current and previous placement of wildlife warning signs by the Finnish Road Administration is based on suggestions from hunting associations and individuals. The problem within this practice is that the placement of warning signs is not a transparent process. Within this paper, we evaluate the current placement of wildlife warning signs for the Uusimaa region in southern Finland and develop a method to optimise warning sign placement using kernel density estimations, which are based on existing wildlife-vehicle accident records. The contour lines of these densities can indicate the road sections to be marked with warning signs. To apply a well-documented computational method, based on these moose and white-tailed deer accident locations, assists the Finnish Road Administration in their task to place, replace and assess wildlife-warning signs for specific road sections. |
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Authors:
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Jukka Matthias Krisp; Sara Durot |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't Date: 2006-07-20 |
Journal Detail:
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Title: Accident; analysis and prevention Volume: 39 ISSN: 0001-4575 ISO Abbreviation: Accid Anal Prev Publication Date: 2007 Jan |
Date Detail:
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Created Date: 2006-12-05 Completed Date: 2007-03-21 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 1254476 Medline TA: Accid Anal Prev Country: England |
Other Details:
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Languages: eng Pagination: 38-46 Citation Subset: IM |
Affiliation:
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Helsinki University of Technology (HUT), Department of Surveying, Institute of Cartography and Geoinformatics, P.O. Box 1200, FIN 02015 Helsinki, Finland. jukka.krisp@hut.fi |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Accident Prevention
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instrumentation*,
methods Accidents, Traffic / prevention & control*, statistics & numerical data Animals Animals, Wild* / injuries Automobile Driving / psychology* Deceleration Deer* / injuries Environment Design Finland / epidemiology Geographic Information Systems* Humans Male Population Density Protective Devices / supply & distribution* Risk Assessment Safety / statistics & numerical data* Transportation / instrumentation, standards* |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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