Related Experiment Videos
Prediction of human crowd pressures.
1Department of Civil and Environmental Engineering, The University of Melbourne, Parkville, Vic. 3010, Australia. s.lee@civenv.unimelb.edu.au
Accident; Analysis and Prevention
|February 21, 2006
Summary
Human crowd pressure can be predicted using autoregressive modeling to prevent fatal crushing injuries. This research offers several minutes for intervention, enhancing crowd safety at barriers.
Area of Science:
- Physics
- Engineering
- Public Health
Background:
- Human crowd crowding can lead to fatal crushing incidents, primarily due to asphyxia.
- Previous research has focused on understanding crowd dynamics but lacked predictive capabilities for preventing crushing events.
Purpose of the Study:
- To develop a method for predicting human crowd pressures at barriers.
- To enable timely preventive actions to avoid crushing injuries and fatalities.
Main Methods:
- Utilized standard forward-backward autoregressive modeling techniques.
- Applied spectral analysis to measured signals from high-density pedestrian crowds.
- Formulated predictions of pressures generated at barriers.
Main Results:
- Successfully predicted pressures generated by very high densities of pedestrians.
- The predictive model indicated a lead time of several minutes before critical pressure levels are reached.
Conclusions:
- Predictive modeling of crowd pressure is feasible and can aid in preventing crushing accidents.
- A lead time of several minutes allows for effective intervention strategies to enhance crowd safety.