Proposal of a dynamic performance index to analyze driving pattern effect on car emissions

Casanova Kindelán, Jesús ORCID: https://orcid.org/0000-0003-1193-3204, Fonseca González, Natalia Elizabeth ORCID: https://orcid.org/0000-0001-8065-7261 and Espinosa Zapata, Felipe (2009). Proposal of a dynamic performance index to analyze driving pattern effect on car emissions. In: "INRETS nº 122", 02/06/2009 - 04/06/2009, Toulouse, Francia. pp. 1-9.

Description

Title: Proposal of a dynamic performance index to analyze driving pattern effect on car emissions
Author/s:
Item Type: Presentation at Congress or Conference (Article)
Event Title: INRETS nº 122
Event Dates: 02/06/2009 - 04/06/2009
Event Location: Toulouse, Francia
Title of Book: Actes INRETS nº 122
Date: 2009
Subjects:
Faculty: E.T.S.I. Minas (UPM)
Department: Sistemas Energéticos [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

The contributions of driver behaviour as well as surrounding infrastructure are decisive on pollutant emissions from vehicles in real traffic situations. This article deals with the preliminary study of the interaction between the dynamic variables recorded in a vehicle (driving pattern) and pollutant emissions produced over a given urban route. It has been established a “dynamic performance index”-DPI, which is calculated from some driving pattern parameters, which in turn depends on traffic congestion level and route characteristics, in order to determine whether the driving has been aggressive, normal or calm. Two passenger cars instrumented with a portable activity measurement system -to record dynamic variables- and on-board emission measurement equipment have been used. This study has shown that smooth driving patterns can reduce up to 80% NOX emissions and up to 20% of fuel in the same route

More information

Item ID: 13475
DC Identifier: https://oa.upm.es/13475/
OAI Identifier: oai:oa.upm.es:13475
Deposited by: Memoria Investigacion
Deposited on: 18 Oct 2012 09:47
Last Modified: 31 Jan 2017 16:48
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