Identification of hazardous road locations of traffic accidents by means of kernel density estimation and cluster significance evaluation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44994575%3A_____%2F13%3A%230001034" target="_blank" >RIV/44994575:_____/13:#0001034 - isvavai.cz</a>
Result on the web
<a href="http://www.sciencedirect.com/science/article/pii/S0001457513000912" target="_blank" >http://www.sciencedirect.com/science/article/pii/S0001457513000912</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Identification of hazardous road locations of traffic accidents by means of kernel density estimation and cluster significance evaluation
Original language 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.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JO - Land transport systems and equipment
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Accident Analysis & Prevention
ISSN
0001-4575
e-ISSN
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Volume of the periodical
55
Issue of the periodical within the volume
June 2013
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
9
Pages from-to
265-273
UT code for WoS article
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EID of the result in the Scopus database
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