Envisioning a Mass Cycling Future
An openly available bicycle trajectory dataset & a mass cycling traffic flow simulation tool
4 Collection Days
June and September 2025
20-Minute Episodes
Morning and evening peak hours, ~48 hrs captured
12 Locations
Signalized and unsignalized intersections
~100K+ Trajectories
Bicycles and vehicles combined
Multimodal
First large-scale dataset focusing on mass cycling flow and capturing multimodal interactions
Ready for Research
Road-aligned longitudinal and lateral coordinates, structured for analysis
Mass bicycle flow simulation
Non-lane-based movement strategies
Empirically-calibrated/validated traffic dynamics
Integrated into SUMO
Innovation project supported by
This research project is part of the BikeZ: Model Suite for Mass Cycling as a Service Simulation innovation project supported by Innosuisse.
Grant agreement 123.077 IP-SBM