Abstract | ||
---|---|---|
A simulation of crowd movement in a city is studied under various as- sumptions about interactions between people. We find, in general, that there are two modes of steady-state behavior. The crowd may be dis- tributed across the city, or it may end up gathered in one place. A mathematical model describes the long-term behavior and shows that this change in behavior is sensitive to a critical parameter setting in our model. Some alternative interpretations of the results are formulated. |
Year | Venue | Keywords |
---|---|---|
2003 | Complex Systems | steady state,mathematical model |
Field | DocType | Volume |
Crowds,Critical parameter,Artificial intelligence,Mathematics | Journal | 14 |
Issue | Citations | PageRank |
4 | 0 | 0.34 |
References | Authors | |
1 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jonathan E. Rowe | 1 | 458 | 56.35 |
Rocío Gómez | 2 | 0 | 0.34 |