Dynamic macroscopic modeling of crowd dynamics under panic conditions
Grant Data
Project Title
Dynamic macroscopic modeling of crowd dynamics under panic conditions
Principal Investigator
Professor Wong, Sze Chun
(Principal Investigator (PI))
Co-Investigator(s)
Dr Lau Henry Ying Kei
(Co-Investigator)
Professor Lam William Hing Keung
(Co-Investigator)
Duration
42
Start Date
2019-01-01
Completion Date
2022-06-30
Amount
632421
Conference Title
Dynamic macroscopic modeling of crowd dynamics under panic conditions
Keywords
Continuum model, Dynamic, Macroscopic, Panic, Pedestrian crowd
Discipline
Transportation
Panel
Engineering (E)
HKU Project Code
17201318
Grant Type
General Research Fund (GRF)
Funding Year
2018
Status
Completed
Objectives
1) To conduct control experiments to collect data and information about the characteristics and behavior of a high-density crowd under panic conditions; 2) To formulate a dynamic macroscopic model that describes pedestrian movements in a panicked crowd; 3) To develop efficient numerical schemes that can be used to solve the dynamic macroscopic model.