A real-time modelling of crowd dynamics for disaster prevention

  • Sarvi, Majid, The University of Melbourne, (Primary Chief Investigator (PCI))
  • Meyer, Bernd (Primary Chief Investigator (PCI))
  • Burd, Martin (Chief Investigator (CI))
  • Seyfried, Armin (Partner Investigator (PI))

Project: Research

Project Description

Rapid population growth creates major challenges for urban management nationally and internationally with a
fundamental responsibility to ensure the safety of citizens in the case of emergencies. This project aims to
develop a rigorous methodology to study pedestrian crowd dynamic under panic/extreme emergency conditions.
Through innovative experimental approaches with new multi-scale online simulation methods and optimisation
techniques, the resultant methodology will support planning and prediction of pedestrian crowd movements based
on data from past events as well as adaptive planning for live events as they unfold. The benefits include superior
risk management in urban design and improved emergency response planning.
StatusActive
Effective start/end date1/01/1631/12/19

Funding

  • Australian Research Council (ARC): AUD440,000.00
  • Australian Research Council (ARC)
  • Australian Research Council (ARC)
  • Monash University
  • Bergische Universitat Wuppertal