An Integrated Knowledge Base for Modelling and Predicting Vehicle Real-world Emissions as a Function of Driving Behaviour Kinematics (Record no. 54985)

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campo de control AR-LpUFIB
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campo de control 20250311170355.0
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100 1# - ENTRADA PRINCIPAL--NOMBRE DE PERSONA
Nombre de persona Rapone, Mario
245 10 - MENCIÓN DE TÍTULO
Título An Integrated Knowledge Base for Modelling and Predicting Vehicle Real-world Emissions as a Function of Driving Behaviour Kinematics
300 ## - DESCRIPCIÓN FÍSICA
Extensión 2008 16 (4) : 279-286
520 ## - SUMARIO, ETC.
Sumario, etc. A multivariate modelling approach was developed by Istituto Motori to model and predict vehicle real-world emissions. Complex driving kinematics is represented by two blocks of variables, which require the development of a hierarchical multiblock emission model, where the two blocks of variables represent overall and instantaneous features of each driving cycle associated to a trip. The multiblock model was applied to analyze and model emissions of the large database built in the ARTEMIS project. In this database we collected emission measurements performed in European laboratories relative to real driving cycles which are statistically representative of many European traffic/road conditions from congested to rush-hour traffic in urban, rural and highway roads. Data concern a varied fleet of vehicles differing in technology and class. To develop a tool useful for mobility analysts for traffic environmental impact assessment, a knowledge base was envisaged to integrate the data warehouse and the model base to build a user interface for driving cycle kinematics and emission analysis. In this paper the modelling approach is presented together with overall emission and driving kinematics characterization based on experimental results, as well as functional analysis of the knowledge base structure and the information tool.
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Título Novática
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Parte(s) relacionada(s) 2000(143,145-147)
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Identificador Uniforme del Recurso <a href="cit.zesoi.fer.hr/browsePaper.php?issue=36&seq=6&paper=1395">cit.zesoi.fer.hr/browsePaper.php?issue=36&seq=6&paper=1395</a>
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      Recurso en Línea Biblioteca de la Facultad de Informática Biblioteca de la Facultad de Informática 11/03/2025   RA NOV 11/03/2025 11/03/2025 Artículo de revista