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