http://www.cnr.it/ontology/cnr/individuo/prodotto/ID87258
An integrated knowledge base for modelling and predicting vehicle real-world emissions as a function of driving behaviour kinematics (Contributo in atti di convegno)
- Type
- Label
- An integrated knowledge base for modelling and predicting vehicle real-world emissions as a function of driving behaviour kinematics (Contributo in atti di convegno) (literal)
- Anno
- 2008-01-01T00:00:00+01:00 (literal)
- Alternative label
Rapone M., Della Ragione L., Meccariello G. (2008)
An integrated knowledge base for modelling and predicting vehicle real-world emissions as a function of driving behaviour kinematics
in 30th International Conference on Information Technology Interfaces ITI 2008, Cavtat (Croatia)
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Rapone M., Della Ragione L., Meccariello G. (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
- pp. 218-287 (ISBN 978-953-7138-13-4) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#descrizioneSinteticaDelProdotto
- 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 rushhour
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. (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Istituto Motori, CNR, Napoli, Italy. (literal)
- Titolo
- An integrated knowledge base for modelling and predicting vehicle real-world emissions as a function of driving behaviour kinematics (literal)
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