Technologies for computer-assisted crowd management
The research projekt CrowdDNA pursues a new approach to assist public space operators in the management of crowds, i.e., mass event organization, heavy pedestrian traffic management, crowd movement analysis and decision support. The main idea behind CrowdDNA is that analysis of some specific macroscopic features of a crowd, such as its apparent motion (that can be easily measured in real mass events) can reveal a valuable information about the internal structure and provide a precise estimate of a crowd state. This vision raises one main scientific challenge, which can be summarized as the need for a deep understanding of the relations between the smallest scales of crowd behaviours (e.g., contact and pushes at the limb scale) and the largest ones up to the entire crowd.
CrowdDNA is a first attempt to combine biomechanical and behavioural simulation in complex scenarios of interactions between many humans. We aim to revolutionize the practices of crowd management to answer the requirements of modern society on safety and comfort at mass events or in crowded transportation facilities.
Crowd Management, Computer Vision, Social Psychology, Sensory
Dr. Juliane Adrian
Building 09.7 / Room 316