Classifying Information
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F06%3A00218572" target="_blank" >RIV/68407700:21260/06:00218572 - 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
Classifying Information
Original language description
Electronic fee collection (EFC) systems require knowledge of vehicle category in order to determine the fee. An automated classification system is always needed. In this paper such classification system is introduced. The input data of such system measured in real conditions on a highway are analyzed and their relationship to the resulting vehicle classes is demonstrated. This analysis is very important since it helps to find a proper modeling tool. The modeling tools recommended for such application, together with result of a decision tree model are provided as well. Our major objective is to discuss all core topics related to vehicle classification and provide guidance in the first steps of preparation of such system.
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
BB - Applied statistics, operational research
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2006
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Traffic Technology International
ISSN
1356-9252
e-ISSN
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Volume of the periodical
2006
Issue of the periodical within the volume
8
Country of publishing house
GB - UNITED KINGDOM
Number of pages
2
Pages from-to
116-117
UT code for WoS article
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EID of the result in the Scopus database
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