About: Identification of hazardous road locations of traffic accidents by means of kernel density estimation and cluster significance evaluation

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://www.sciencedirect.com/science/article/pii/S0001457513000912
Description	This paper proposes a procedure which evaluates clusters of traffic accident and organizes them according to their significance. The standard kernel density estimation was extended by statistical significance testing of the resulting clusters of the traffic accidents. This allowed us to identify the most important clusters within each section. They represent places where the kernel density function exceeds the significance level corresponding to the 95th percentile level, which is estimated using the Monte Carlo simulations. To show only the most important clusters within a set of sections, we introduced the cluster strength and cluster stability evaluation procedures. The method was applied in the Southern Moravia Region of the Czech Republic. This paper proposes a procedure which evaluates clusters of traffic accident and organizes them according to their significance. The standard kernel density estimation was extended by statistical significance testing of the resulting clusters of the traffic accidents. This allowed us to identify the most important clusters within each section. They represent places where the kernel density function exceeds the significance level corresponding to the 95th percentile level, which is estimated using the Monte Carlo simulations. To show only the most important clusters within a set of sections, we introduced the cluster strength and cluster stability evaluation procedures. The method was applied in the Southern Moravia Region of the Czech Republic. (en)
Title	Identification of hazardous road locations of traffic accidents by means of kernel density estimation and cluster significance evaluation Identification of hazardous road locations of traffic accidents by means of kernel density estimation and cluster significance evaluation (en)
skos:prefLabel	Identification of hazardous road locations of traffic accidents by means of kernel density estimation and cluster significance evaluation Identification of hazardous road locations of traffic accidents by means of kernel density estimation and cluster significance evaluation (en)
skos:notation	RIV/44994575:_____/13:#0001034!RIV13-MSM-44994575
http://linked.open...avai/predkladatel	Centrum dopravního výzkumu, v.v.i.
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(ED2.1.00/03.0064), P(TA01031581)
http://linked.open...iv/cisloPeriodika	June 2013
http://linked.open...vai/riv/dodaniDat	2013
http://linked.open...aciTvurceVysledku	Bíl, Michal Janoška, Zbyněk Andrášik, Richard
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Centrum dopravního výzkumu, v.v.i.
http://linked.open...dnocenehoVysledku	78680
http://linked.open...ai/riv/idVysledku	RIV/44994575:_____/13:#0001034
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Clustering; Traffic accidents; Hazardous road locations; Kernel density estimation; Monte Carlo (en)
http://linked.open.../riv/klicoveSlovo	Traffic accidents Clustering Hazardous road locations Kernel density estimation Monte Carlo
http://linked.open...odStatuVydavatele	NL - Nizozemsko
http://linked.open...ontrolniKodProRIV	[3A1860F34B17]
http://linked.open...i/riv/nazevZdroje	Accident Analysis & Prevention
http://linked.open...in/vavai/riv/obor	JO
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	Transport R&D Centre Methodology for Critical Road Sections Identification by GIS Analyses of Traffic Accidents
http://linked.open...UplatneniVysledku	2013
http://linked.open...v/svazekPeriodika	55
http://linked.open...iv/tvurceVysledku	Bíl, Michal Janoška, Zbyněk Andrášik, Richard
issn	0001-4575
number of pages	9 (xsd:int)

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