Projects and Research Groups

Overview — Overview of projects with IAS-7 contributing

LoStInCrowds — Locomotion strategies and injury potential in dense pedestrian crowds

CroMa-PRO — Simulation-supported traffic and crowd management at major events

BESKID

Fair2Ped+ — More FAIR to Pedestrian Dynamics Data

SISAME 2.0 — Simulations for Safety at Major Events

CrowdDNA — CrowdDNA is a joint project of 7 organizations from 4 European countries, funded by the European Commission (EU H2020). It aims to enable a new generation of "crowd technologies"; a system that avoids fatalities, minimizes inconvenience and maximizes efficiency in crowd management.

CrowdDNA — Technologies for Computer Assisted Crowd Management

Fair2Ped — FAIR to Pedestrian Dynamics Data

Multi-Agent modeling of dense crowd dynamics: Predict & Understand

Simulations for Safety at Major Events

KapaKrit

Crowd Management in Transport Infrastructures

Safety for people with physical, mental or age-related impairments

Optimization of smoke extraction and passenger guidance in subway stations: experiments and simulations

Quantitative Description of Jamming in Pedestrian Streams

Building blocks for the security of major events

HERMES

Boundary Effects and Non-Equilibrium States in Pedestrian Dynamics - Experiments and Modelling

CroMa — The aim of the CroMa project is to achieve greater robustness, safety and performance of stations during peak loads through improved structural arrangements, appropriate crowd management and adapted cross-organizational instructions for action.

Optical Head Tracking: Software PeTrack — With PeTrack, extensive test series with a large number of people can be analyzed. Individual codes allow personalized trajectories with static information about each participant (e.g. age, gender).

3D Motion in Crowds — For the understanding of the dynamics inside crowds, reliable empirical data are needed, which could increase safety and comfort for pedestrians and the design of models reflecting the real dynamics. To analyze effects like clogging, overtaking or the threading into a bottleneck the orientation of body parts like shoulder, pelvis, arms and feet are of high interest. In dense crowds a well-calibrated camera system can extract absolute head positions with high accuracy. The inclusion of inertial sensors or even self-contained full-body motion capturing (mocap) systems allows the relative tracking of body parts or even capturing the locomotion of the whole body.

Pushing in Crowds — In many dangerous crowd situations, the combination of high density (more than 8 persons per m2) and movement within the crowd results in strong pressure on the human body and increases the likelihood of life-threatening falls. The research group studies a. the collective dynamics resulting from pushing; b. under which circumstances do people in a crowd start to push intentionally; c. develops AI tools to automatic detect pushing in crowds and d. develops agent based models to model spatio-temporal dynamics of pushing propagation in crowds.