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A new GPS-based method to estimate real driving emissions

Authors: Laurent Thibault; Philippe Degeilh; Olivier Lepreux; Luc Voise; Guillaume Alix; Gilles Corde;

A new GPS-based method to estimate real driving emissions

Abstract

So far, real driving emissions knowledge involves installing Portable Emissions Measurement Systems (PEMS). As a consequence, large scale campaigns of measurement are not feasible. This paper describes an innovative coupling of Information and Communication Technology (ICT) and physical modeling to turn the driver's smartphone into a virtual sensor of pollutant emissions of his/her vehicle. It consists of using the smartphone as a vehicle speed sensor and using cloud computing to make pollutant estimation. Large scale deployment of this approach provides i) decision-makers with precise information about pollutant emissions related to choices of standards or infrastructure ii) car drivers with their real footprint.

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    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).
    11
    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.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
11
Top 10%
Top 10%
Average
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