Detecting Anomalous Behavior in Stadium Crowds

Location analytics based on data collected with Wi-Fi and Bluetooth sensors in the Amsterdam ArenA

Image: Loveparade 2010 © Arne Müseler / arne-mueseler.de / CC-BY-SA-3.0 www.arne-mueseler.de

Crowd disasters have taken many human lives. The Love Parade disaster (Duisburg, 2010), the Ellis Park Stadium disaster (Johannesburg, 2001), the PhilSports Stadium stampede (Manila, 2006) are just a few recent examples. Yet, controlling crowds is a still unsolved problem.

The problem arises from the fact that in dense crowds, a “normal” situation may suddenly turn into a dangerous situation in the event of panic and that these changes are very difficult to predict as well as prevent.

In this project this problem will be addressed using the Amsterdam ArenA stadium as a living laboratory. Based on detection of Wi-Fi and Bluetooth signals from smart phones, we will follow visitors’ locations in real time. We will develop algorithms and software to process locations in real time and to detect “abnormal” behaviour of a crowd that could lead to a disaster.

Existing simulation models will be used to model normal and abnormal behaviour in crowds. Based on the results, we will train classifiers to detect abnormal behaviour during a public event.

Our ultimate goal, to be achieved in follow-up projects, is to develop a system that interacts with the crowd in order to prevent escalation of risk situations into actual disasters. Such system will direct (groups of) individuals, e.g. to alternative exits, to minimize congestions during an emergency situation, with mass communication devices like screens or personal devices like smart phones.

Participating organisations

Natural Sciences & Engineering
Natural Sciences & Engineering
Netherlands eScience Center
University of Amsterdam

Impact

Output

Team

SK
Sander Klous
Principal investigator
University of Amsterdam
ML
Michael Lees
Co-Applicant
University of Amsterdam
Sonja Georgievska
Sonja Georgievska
eScience Research Engineer
Netherlands eScience Center
Elena Ranguelova
Elena Ranguelova
Technical Lead
Netherlands eScience Center
Rena Bakhshi
Rena Bakhshi
Programme Manager
Netherlands eScience Center
PR
Philip Rutten
PhD student
University of Amsterdam

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