Anatomy of automatic mobile carbon footprint calculator

Ville Könönen; Miikka Ermes; Jussi Liikka; Arttu Lämsä; Timo Rantalainen; Harri Paloheimo; Jani Mäntyjärvi

doi:10.1007/978-3-642-20754-9_10

Anatomy of automatic mobile carbon footprint calculator

Ville Könönen, Miikka Ermes, Jussi Liikka, Arttu Lämsä, Timo Rantalainen, Harri Paloheimo, Jani Mäntyjärvi

Nokia Oyj

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

2 Citations (Scopus)

Abstract

A number of web-based systems provide environmental information to support our ecological lifestyle. However, there exists a need for more accurate and automated online systems facilitating personalised ecological awareness. This paper presents a travel type detection system for an automatic mobile carbon emission calculator. The system is able to detect automatically trips made by mobile users and provide them an easy and quick way for estimating the travel related CO2 emissions. The system is based on energy and computationally effective multisource fusion in a mobile device. The paper introduces the system with design rationale, explains smartphone implementation and provides comprehensive evaluation from both accuracy and energy efficiency points of view. The system attained the overall travel type detection accuracy of 77% and the daily average current consumption of 33mA. The results show great promise for the developed methodology to facilitate 24/7 carbon emission estimation of a traveller

Original language	English
Title of host publication	Advances in Grid and Pervasive Computing. GPC 2011
Publisher	Springer
Pages	84-93
ISBN (Print)	978-364220753-2
DOIs	https://doi.org/10.1007/978-3-642-20754-9_10
Publication status	Published - 2011
MoE publication type	A4 Article in a conference publication
Event	6th International Conference on Grid and Pervasive Computing, GPC 2011 - Oulu, Finland Duration: 11 May 2011 → 13 May 2011

Publication series

Series	Lecture Notes in Computer Science
Volume	6646
ISSN	0302-9743

Conference

Conference	6th International Conference on Grid and Pervasive Computing, GPC 2011
Abbreviated title	GPC
Country/Territory	Finland
City	Oulu
Period	11/05/11 → 13/05/11

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-642-20754-9_10

Cite this

@inproceedings{861be0109b3c44a3a2c479b98922f089,

title = "Anatomy of automatic mobile carbon footprint calculator",

abstract = "A number of web-based systems provide environmental information to support our ecological lifestyle. However, there exists a need for more accurate and automated online systems facilitating personalised ecological awareness. This paper presents a travel type detection system for an automatic mobile carbon emission calculator. The system is able to detect automatically trips made by mobile users and provide them an easy and quick way for estimating the travel related CO2 emissions. The system is based on energy and computationally effective multisource fusion in a mobile device. The paper introduces the system with design rationale, explains smartphone implementation and provides comprehensive evaluation from both accuracy and energy efficiency points of view. The system attained the overall travel type detection accuracy of 77% and the daily average current consumption of 33mA. The results show great promise for the developed methodology to facilitate 24/7 carbon emission estimation of a traveller",

author = "Ville K{\"o}n{\"o}nen and Miikka Ermes and Jussi Liikka and Arttu L{\"a}ms{\"a} and Timo Rantalainen and Harri Paloheimo and Jani M{\"a}ntyj{\"a}rvi",

year = "2011",

doi = "10.1007/978-3-642-20754-9_10",

language = "English",

isbn = "978-364220753-2",

series = "Lecture Notes in Computer Science",

publisher = "Springer",

pages = "84--93",

booktitle = "Advances in Grid and Pervasive Computing. GPC 2011",

address = "Germany",

note = "6th International Conference on Grid and Pervasive Computing, GPC 2011, GPC ; Conference date: 11-05-2011 Through 13-05-2011",

}

Könönen, V, Ermes, M, Liikka, J , Lämsä, A, Rantalainen, T, Paloheimo, H & Mäntyjärvi, J 2011, Anatomy of automatic mobile carbon footprint calculator. in Advances in Grid and Pervasive Computing. GPC 2011. Springer, Lecture Notes in Computer Science, vol. 6646, pp. 84-93, 6th International Conference on Grid and Pervasive Computing, GPC 2011, Oulu, Finland, 11/05/11. https://doi.org/10.1007/978-3-642-20754-9_10

TY - GEN

T1 - Anatomy of automatic mobile carbon footprint calculator

AU - Könönen, Ville

AU - Ermes, Miikka

AU - Liikka, Jussi

AU - Lämsä, Arttu

AU - Rantalainen, Timo

AU - Paloheimo, Harri

AU - Mäntyjärvi, Jani

PY - 2011

Y1 - 2011

N2 - A number of web-based systems provide environmental information to support our ecological lifestyle. However, there exists a need for more accurate and automated online systems facilitating personalised ecological awareness. This paper presents a travel type detection system for an automatic mobile carbon emission calculator. The system is able to detect automatically trips made by mobile users and provide them an easy and quick way for estimating the travel related CO2 emissions. The system is based on energy and computationally effective multisource fusion in a mobile device. The paper introduces the system with design rationale, explains smartphone implementation and provides comprehensive evaluation from both accuracy and energy efficiency points of view. The system attained the overall travel type detection accuracy of 77% and the daily average current consumption of 33mA. The results show great promise for the developed methodology to facilitate 24/7 carbon emission estimation of a traveller

AB - A number of web-based systems provide environmental information to support our ecological lifestyle. However, there exists a need for more accurate and automated online systems facilitating personalised ecological awareness. This paper presents a travel type detection system for an automatic mobile carbon emission calculator. The system is able to detect automatically trips made by mobile users and provide them an easy and quick way for estimating the travel related CO2 emissions. The system is based on energy and computationally effective multisource fusion in a mobile device. The paper introduces the system with design rationale, explains smartphone implementation and provides comprehensive evaluation from both accuracy and energy efficiency points of view. The system attained the overall travel type detection accuracy of 77% and the daily average current consumption of 33mA. The results show great promise for the developed methodology to facilitate 24/7 carbon emission estimation of a traveller

U2 - 10.1007/978-3-642-20754-9_10

DO - 10.1007/978-3-642-20754-9_10

M3 - Conference article in proceedings

SN - 978-364220753-2

T3 - Lecture Notes in Computer Science

SP - 84

EP - 93

BT - Advances in Grid and Pervasive Computing. GPC 2011

PB - Springer

T2 - 6th International Conference on Grid and Pervasive Computing, GPC 2011

Y2 - 11 May 2011 through 13 May 2011

ER -

Anatomy of automatic mobile carbon footprint calculator

Abstract

Publication series

Conference

UN SDGs

Access to Document

Fingerprint

Cite this