Smart e-bike monitoring system: real-time open source and open hardware GPS assistance and sensor data for electrically-assisted bicycles


As of July 2018 University of Brighton Repository is no longer updated. Please see our new repository at

Behrendt, Frauke and Kiefer, Chris (2016) Smart e-bike monitoring system: real-time open source and open hardware GPS assistance and sensor data for electrically-assisted bicycles IET Intelligent Transport Systems, 10 (2). pp. 79-88. ISSN 1751-956X

Kiefer, Behrendt(2015)Smart e-bike Monitoring System.pdf - Accepted Version

Download (2MB) | Preview


The smart e-bike monitoring system (SEMS) is a platform for the real-time acquisition of usage data from electrically-assisted bikes (also called pedelecs or e-bikes). It is autonomous (runs off the bike battery), replicable (open source and open hardware), scalable (different fleet sizes) and modular (sensors can be added), so it can be used for further research and development. The system monitors location (global positioning system), rider control data (level of assistance) and other custom sensor input in real time. The SEMS data feeds an online interface for data analysis, for riders to view their own data and for sharing on social media. The basic system can be replicated by other researchers and can be extended with modules to explore various issues in e-bike research. The source code and hardware design are publicly available, under the General Public License, for non-commercial use. SEMS was implemented on 30 bikes and collected data during 10 months of real-word trials in the UK. This study details the design and implementation of the hardware and software, discusses the system use and explores features for future design iterations. The SEMS turns singular e-bikes into a networked fleet and is an example of the internet of things in the cycling context.

Item Type: Journal article
Additional Information: This paper is a postprint of a paper submitted to and accepted for publication in IET Intelligent Transport Systems and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at IET Digital Library
Uncontrolled Keywords: data acquisition; public domain software; data analysis; Global Positioning System; source code (software); power engineering computing; electric vehicles; computerised monitoring; motorcycles; condition monitoring
Subjects: G000 Computing and Mathematical Sciences > G400 Computing > G440 Human-computer interaction
H000 Engineering > H600 Electrical and Electronic Engineering
H000 Engineering > H300 Mechanical Engineering > H370 Product Design and Innovation
P000 Mass Communications and Documentation > P300 Media studies
L000 Social Sciences > L300 Sociology > L312 Travel and Tourism
DOI (a stable link to the resource): 10.1049/iet-its.2014.0251
Depositing User: Converis
Date Deposited: 22 Sep 2015 03:01
Last Modified: 12 Feb 2016 12:12

Actions (login required)

View Item View Item


Downloads per month over past year