APEx2: Modelling pedestrian and cyclist interactions at dense urban intersections
Summary
Building on APEx1's insights into cycling dynamics and topographical influences, APEx2 addresses a critical gap in understanding mixed pedestrian and cyclist traffic at urban intersections. The project systematically collects high-quality empirical trajectory data from congested intersections in Wuppertal and Solingen through video recordings.
A key contribution of APEx2 is the generation and publication of detailed real-world trajectory datasets that capture the complex interactions between pedestrians and cyclists in naturalistic urban settings. Using the PeTrack software, the project extracts and corrects trajectories, making available to the research community an extensive dataset of road user movements including pedestrians, cyclists, vehicles, and other micro-mobility modes in dense urban contexts.
Through rigorous empirical analysis of movement data and systematic investigation of accident registers, APEx2 develops validated behavioral models that are implemented in the SUMO simulation platform. These tools provide evidence-based recommendations for designing safer, more efficient urban intersections that accommodate mixed pedestrian and bicycle traffic, directly contributing to sustainable mobility goals.
Funding
Funding amount
199k€
Duration
2026-2029
