Gathering of data under laboratory conditions for the deep analysis of pedestrian dynamics in crowds

For the understanding of the dynamics inside crowds reliable empirical data are needed. On that basis the safety and comfort for pedestrians can be increased and models reflecting the real dynamics can be designed.For that purpose we are developing the free framework PeTrack collecting data from laboratory experiments. With the new integration of the detection of individual codes the presented framework is able to personalize every single trajectory by static information of each participant. The inclusion of inertial sensors allows the tracking of invisible people and capturing the locomotion of the whole body also in dense crowds. Fused information enables the analysis of possible correlations of all observables and thus finding the main influencing parameters for different situations