TITLE

An Integrated Knowledge Base for Modelling and Predicting Vehicle Real-world Emissions as a Function of Driving Behaviour Kinematics

AUTHOR(S)
Rapone, Mario; Ragione, Livia Della; Meccariello, Giovanni
PUB. DATE
December 2008
SOURCE
Journal of Computing & Information Technology;Dec2008, Vol. 16 Issue 4, p279
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
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.
ACCESSION #
36030740

 

Related Articles

  • Managing the Time Dimension Challenges Data Mart Builders. Schraml, Todd // Database Trends & Applications;Apr2004, Vol. 18 Issue 4, p26 

    In creating a multidimensional design for data warehousing, one normally expects to have a Time Dimension table. The Time Dimension will have a row for each occurrence of a time unit from the level of detail considered relevant to the data retained within the model. This detail could include a...

  • Towards Development of Solution for Business Process-Oriented Data Analysis. Klimavicius, M. // International Journal of Computer Science & Engineering;2008, Vol. 2 Issue 2, p85 

    This paper proposes a modeling methodology for the development of data analysis solution. The Author introduce the approach to address data warehousing issues at the at enterprise level. The methodology covers the process of the requirements eliciting and analysis stage as well as initial design...

  • Decision Support System for Cardiovascular Heart Disease Diagnosis using Improved Multilayer Perceptron. Panday, Prabhat; Godara, Nirmal // International Journal of Computer Applications;May2012, Vol. 45, p12 

    Medical science industry has huge amount of data, but most of this data is not mined to find out hidden information in data. Diagnosing of heart disease is one of important issue to develop medical decision support system which will help the physicians to take effective decision. This paper...

  • Real-Time Decision Support Systems? Inmon, Bill // DM Review;Aug2006, Vol. 16 Issue 8, p14 

    The article discusses the nature of real time decision support system (DSS) processing. Unlike online transactional processing (OTLP), the DSS has no real time processing for several reasons. For one thing, the requirements for processing and the queries in the DSS are not predetermined. The DSS...

  • MySQL V5 — Ready for Prime Time Business Intelligence. Grimes, Seth // Database & Network Journal;Aug2006, Vol. 36 Issue 4, p11 

    The article focuses on the significance of the release of MySQL V5, which conditions for introducing and expanding open-source enterprise business intelligence (BI) programs. The capabilities of MySQL have grown to meet the most demanding BI performance and scalability requirements. According to...

  • SemSemi-automatic Data Warehouse Design methodologies: a survey. Tebourski, Wafa; Karâa, Wahiba Ben Abdessalem; Ghezala, Henda Ben // International Journal of Computer Science Issues (IJCSI);Sep2013, Vol. 10 Issue 5, p48 

    Data warehouses are used in making strategic decisions. A data warehouse is a collection of integrated, historised data originating from heterogeneous sources which gives rise to business bases (data store). Several approaches proposed semi-automatic building data warehouses. In this paper, we...

  • Derived Relations with Exceptions: Decision Support Capabilities. Dattero, Ronald; Ramirez, Richard G.; Choobineh, Joobin // Journal of Management Information Systems;Spring90, Vol. 6 Issue 4, p83 

    Despite the widespread use of relational database management systems, their decision support capabilities have been limited. These limitations include: (1) very limited support for expression of general statements and exceptions, (2) limited capabilities for what-if analysis, and (3) problems...

  • NYSE picks Netezza for marketing monitoring.  // Data Strategy;Jun2009, Vol. 6 Issue 6, p5 

    The article focuses on the use by NYSE Euronet of its Netezza data warehouse appliance for daily tracking of 400 terabytes of information. It is stated that the company needs to perform data processing without the addition of processes. The running of surveillances at Netezza between the day's...

  • Moving Business Intelligence to the Operational World, Part 2. McKnight, William // DM Review;Sep2007, Vol. 17 Issue 9, p38 

    The article discusses the use of operational platforms within a business intelligence system for the delivery, storage and processing of data in real-time. Data warehousing through master data management (MDM) and enterprise information integration (EII) could work despite the lack of physical...

Share

Read the Article

Courtesy of VIRGINIA BEACH PUBLIC LIBRARY AND SYSTEM

Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics