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A Data-Based Simulator for Predicting Vehicle Fuel Consumption

Authors: Axel B. Rose; John N. Hooker; Glenn F. Roberts; Jeffrey Hodgson;

A Data-Based Simulator for Predicting Vehicle Fuel Consumption

Abstract

<div class="htmlview paragraph">A hybrid system, combining on-road testing and statistical modeling, has been developed which permits calculation of a vehicle's fuel consumption over any driving cycle. An instrumentation system permits collection of the necessary on-road and laboratory test data within a relatively short period of time and, once calibrated, the model requires considerably less CPU time for execution than engineering simulation models while providing results within 5% of on-road measured fuel uses. The model has been run in conjunction with optimization routines for deriving minimum fuel use strategies for a variety of common driving maneuvers. Results for a 1979 Ford Fairmont wagon are given.</div>

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Top 10%
Average
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