Cities worldwide are trying to increase the modal share of bicycle traffic to
address traffic and carbon emission problems. Aside from safety, a key factor
for this is the cycling comfort, including the surface quality of cycle paths.
In this paper, we propose a novel edge-based crowdsensing method for analyzing
the surface quality of bicycle paths using smartphone sensor data: Cyclists
record their rides which after preprocessed on their phones before being
uploaded to a private cloud backend. There, additional analysis modules
aggregate data from all available rides to derive surface quality information
which can then used for surface quality-aware routing and planning of
infrastructure maintenance.Comment: Accepted for the 11th IEEE International Conference on Cloud
Engineering (IC2E 2023