DocumentCode
3604172
Title
Mobile Cockpit System for Enhanced Electric Bicycle Use
Author
Ferreira, Joao C. ; Monteiro, Vitor ; Afonso, Jose A. ; Afonso, Joao L.
Author_Institution
Centro Algoritmi, Univ. of Minho, Guimaraes, Portugal
Volume
11
Issue
5
fYear
2015
Firstpage
1017
Lastpage
1027
Abstract
This paper presents the project of a mobile cockpit system (MCS) for smartphones, which provides assistance to electric bicycle (EB) cyclists in smart cities´ environment. The presented system introduces a mobile application (MCS App) with the goal to provide useful personalized information to the cyclist related to the EB´s use, including EB range prediction considering the intended path, management of the cycling effort performed by the cyclist, handling of the battery charging process, and the provisioning of information regarding available public transport. This work also introduces the EB cyclist profile concept, which is based on historical data analysis previously stored in a database and collected from mobile devices´ sensors. From the tests performed, the results show the importance of route guidance, taking into account the energy savings. The results also show significant changes on range prediction based on user and route taken. It is important to say that the proposed system can be used for all bicycles in general.
Keywords
bicycles; electric vehicles; public transport; smart phones; EB cyclist profile concept; EB range prediction; EB use; MCS application; battery charging process; electric bicycle cyclists; electric bicycle use enhancement; energy savings; historical data analysis; information provisioning; mobile application; mobile cockpit system; mobile device sensors; personalized information; public transport; range prediction; route guidance; smart citiy environment; smart phones; Batteries; Bicycles; Mobile communication; Sensors; Smart phones; Cyclist Profile; Cyclist profile; Mobile Cockpit System; Smartphone Sensing; electric bicycle (EB); mobile cockpit system (MCS); public transport; range prediction; smartphone sensing;
fLanguage
English
Journal_Title
Industrial Informatics, IEEE Transactions on
Publisher
ieee
ISSN
1551-3203
Type
jour
DOI
10.1109/TII.2015.2463754
Filename
7175029
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