"2"^^ . "P\u0159ibyl, Ond\u0159ej" . "Classifying Information" . . "1356-9252" . "Classifying Information"@en . "8" . . "GB - Spojen\u00E9 kr\u00E1lovstv\u00ED Velk\u00E9 Brit\u00E1nie a Severn\u00EDho Irska" . . "RIV/68407700:21260/06:00218572!RIV15-MSM-21260___" . "1"^^ . . . "S" . . "1"^^ . "Classifying Information" . "21260" . . "Traffic Technology International" . "classification; decision trees; enforcement"@en . "[0308FE9366EC]" . . "Classifying Information"@en . . . . . "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." . "RIV/68407700:21260/06:00218572" . "2006" . "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."@en . . . "468861" .