FLAME’s Future
279
this system. Real-time patient records and staff measurement data will
be connected to the model to enable the model to present on-going status
of the department and to predict from any chosen scenario.
Concoursia active management of crowds (by Mark Burkitt, Twin
Karmakharm, Mike Holcombe).
The management of transport hubs and other places where people gather
is becoming increasingly complex. Managing these places is a challenge
as safety and security in the light of sudden changes in circumstances
are critical. Ensuring that they operate in the most efficient way is
paramount.
Overcrowding in stations is a common problem that hits the headlines
with commuters seething at mainline stations because of being evacuated, rush hours or overcrowding. It is not just in stations; airports can
have problems due to flight delays, weather, terrorist attacks and other
emergencies. This gives rise to a number of questions:
“How can we decide what is the best thing to do? How can we inform
passengers about what is going on if we don’t know ourselves? What
about other places where people gather?”
Problems may arise due to,
• Building works alterations: Closing channels, exits, parts of terminals etc.
• Weather-related problems: Snow, flooding
• Seasonal surges in traffic: Bank holidays, Christmas, strikes
• Managers have to make decisions to prevent overcrowding: How
can we help this?
Concoursia is based on the FLAME GPU version (Figure 9.3). It utilizes
the ability to represent pedestrians and passengers as agents and imports
graphics data to describe the environment where people are interacting.
The agents can avoid obstacles and each other, travel in groups, have
routes and paths and behave independently with random bizarreness,
e.g. as drunken passengers.
The system provides very rapid simulations, faster than real-time and
can be used for active management, planning new developments and alterations to existing facilities. For example, coupled with suitable sensor
technology, the system can identify where each individual is and the direction they are travelling in to provide predictions of the building state
in the next 1030 minutes. If there are signs of potential overcrowding
situations, then different available intervention plans can be explored
using a rapid simulation capability (Figure 9.4).
279
this system. Real-time patient records and staff measurement data will
be connected to the model to enable the model to present on-going status
of the department and to predict from any chosen scenario.
Concoursia active management of crowds (by Mark Burkitt, Twin
Karmakharm, Mike Holcombe).
The management of transport hubs and other places where people gather
is becoming increasingly complex. Managing these places is a challenge
as safety and security in the light of sudden changes in circumstances
are critical. Ensuring that they operate in the most efficient way is
paramount.
Overcrowding in stations is a common problem that hits the headlines
with commuters seething at mainline stations because of being evacuated, rush hours or overcrowding. It is not just in stations; airports can
have problems due to flight delays, weather, terrorist attacks and other
emergencies. This gives rise to a number of questions:
“How can we decide what is the best thing to do? How can we inform
passengers about what is going on if we don’t know ourselves? What
about other places where people gather?”
Problems may arise due to,
• Building works alterations: Closing channels, exits, parts of terminals etc.
• Weather-related problems: Snow, flooding
• Seasonal surges in traffic: Bank holidays, Christmas, strikes
• Managers have to make decisions to prevent overcrowding: How
can we help this?
Concoursia is based on the FLAME GPU version (Figure 9.3). It utilizes
the ability to represent pedestrians and passengers as agents and imports
graphics data to describe the environment where people are interacting.
The agents can avoid obstacles and each other, travel in groups, have
routes and paths and behave independently with random bizarreness,
e.g. as drunken passengers.
The system provides very rapid simulations, faster than real-time and
can be used for active management, planning new developments and alterations to existing facilities. For example, coupled with suitable sensor
technology, the system can identify where each individual is and the direction they are travelling in to provide predictions of the building state
in the next 1030 minutes. If there are signs of potential overcrowding
situations, then different available intervention plans can be explored
using a rapid simulation capability (Figure 9.4).