question · draft
Crowds and evacuation
How will people move through a station, a stadium or a festival, and how long would it take to clear an area in an emergency?
Someone is designing a concourse, planning an event, or writing an evacuation plan, and wants to know where people will bunch up, how long it takes, and what a wider gate or a second exit changes.
What you are really asking
- Flow: how many people can pass a point per minute, and where do queues form?
- Time to clear: how long from alarm to empty, and what is the slowest group's experience?
- Design: which change, an exit, a barrier, a sign, a staff member at a corner, helps most?
What kind of model answers it
Agent-based pedestrian models give each person a goal, a walking speed and simple rules for avoiding others, and let a crowd emerge from thousands of them. They show the bottlenecks that a floor plan hides. For a city-scale evacuation, by car as well as on foot, the same idea runs on the road network, and the hard part is the assumption about when people decide to leave.
On this site, AnyLogic is a commercial platform with pedestrian and transport libraries, and GAMA an open platform for spatial agent-based models including evacuation.
What you need
- The floor plan or street network, with doors, stairs and widths right.
- How many people, where they start, and where they are going.
- For an emergency plan: who needs help to move, and where they are.
- Counts from a real event to check against.
Without a model
Stand at the pinch point at peak time with a counter. Walk the evacuation route at the speed of the slowest person you are responsible for. Most of the answer is there.
Next
Build the smallest version: one concourse, one scenario, before the whole venue.
answered with
AnyLogic's simulation software combines agent-based, discrete-event and system-dynamics modelling in one model, with libraries for road traffic, pedestrians and rail and the option to place models on GIS maps.
closed sourceAPI
-
Open-source environment for building and running spatially explicit agent-based simulations; used for urban mobility, evacuation, epidemics, climate adaptation and planning.
open sourceopen participation