Analysis of bicycle flow characteristics based on different vehicle types and riders (B02)

• Subject Area: Traffic and Transport Systems, Intelligent and Automated Traffic
• Term: since 2025
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 531327426

Project B2 aims at advancing methods for empirically investigating and simulating bicycle traffic at the local street scale. First, bicycle flow characteristics will be analyzed in real traffic conditions using data from aerial drones and from test rides with a Holoscene sensor bike. Controlled experiments at the TUM Mobility Innovation Campus will be implemented, followed by experiments with micromobility simulators at TUM including a bicycle, an e-scooter, and a cargo bike. Based on this data, we will set up a microscopic bicycle simulation model with user-specific calibrated parameters to reflect the heterogeneity of cyclists in real-world conditions.

• DFG Programme: CRC/Transregios
• Subproject of: TRR 408: AgiMo: Data-driven agile planning for responsible mobility
• Applicant Institution: Technische Universität Dresden
• Project Head: Dr. Lisa Kessler