BikeZ-ETH – A Mass-Cycling Trajectory Dataset from a Controlled Experiment

This dataset contains high-resolution bicycle trajectory data collected during a controlled mass-cycling experiment conducted on a circular test track at ETH Zurich. A total of 28 cyclists were recorded using aerial video over approximately 30 minutes. The experiment systematically varied the number of simultaneous cyclists and the effective lane width to capture a range of traffic density conditions, including free-flow, disturbed flow, and stop-and-go regimes.

10.1038/s41597-026-07247-7

Impact of radical bike lane allocation on bi-modal urban road network traffic performance: A simulation case study

From a traffic engineering perspective, this study first aims to answer the question “how much modal shift it requires to counterbalance the impact of road space reallocation on network traffic flow” by conducting a microscopic traffic simulation case study.

10.1016/j.cstp.2025.101583

Microscopic simulation of bicycle traffic flow incorporating cyclists’ heterogeneous dynamics and non-lane-based movement strategies

This paper proposes a comprehensible microscopic bicycle simulation model which includes a detailed decision-making process and the ability to simulate continuous-space lateral movement.

10.1016/j.simpat.2024.102986

Bicycle as a traffic mode: From microscopic cycling behavior to macroscopic bicycle flow

This study aims to investigate bicycle flow characteristics using microscopic traffic simulation. As bicycle flow performance is subject to the non-lane-based movement strategy and the behavioral heterogeneity among cyclists, various scenarios with different microsimulation settings are evaluated.

10.1016/j.jcmr.2024.100022