ABSTRACT
Congestion maps provide a simple means of modeling aggregate behavior in large crowds of tens or hundreds of thousands of agents. Combined with vector flow fields, congestion maps can be used to elegantly handle large variations in path travel times due to congestion and crowding from other agents in the scene. Agents controlled by this technique appear to be more aware of their surroundings, reconsidering their current path choice if a less-congested alternative exists.
