Short Term Prediction of Highway Travel Time using Data Mining and Neuro-Fuzzy Methods.
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F03%3A06030128" target="_blank" >RIV/67985807:_____/03:06030128 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Short Term Prediction of Highway Travel Time using Data Mining and Neuro-Fuzzy Methods.
Original language description
Two new models for a prediction of travel time on a 28-km long highway section are introduced. One based on a GUHA mining and Total Fuzzy Similarity method and the second on neuro-fuzzy modeling. New models are comparable well with existing models.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BA - General mathematics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/OC%20274.001" target="_blank" >OC 274.001: Retional structures in data mining and discovery science</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2003
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Fuzzy Sets and Systems.
ISBN
975-518-208-X
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
175-182
Publisher name
Bogaziai University
Place of publication
Istanbul
Event location
Istanbul [TR]
Event date
Jun 30, 2003
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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