Anatomy of automatic mobile carbon footprint calculator

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

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

2 Citations (Scopus)


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 languageEnglish
Title of host publicationAdvances in Grid and Pervasive Computing. GPC 2011
ISBN (Print)978-364220753-2
Publication statusPublished - 2011
MoE publication typeA4 Article in a conference publication
Event6th International Conference on Grid and Pervasive Computing, GPC 2011 - Oulu, Finland
Duration: 11 May 201113 May 2011

Publication series

SeriesLecture Notes in Computer Science


Conference6th International Conference on Grid and Pervasive Computing, GPC 2011
Abbreviated titleGPC

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