Using Social Force Maps to model idiosyncratic Movement of Crowd Flow Agents

Abstract

In most modern crowd flow simulations, agent movement is usually modelled for the purposes of idiosyncracies, allowing for personal attributes such as a feeling of personal space, or they are modelled logically, allowing for greater coordination and planning between agents. The objective of this paper is derived from this separation, as it attempts to introduce an in-between solution, that allows planning with idiosyncratic variables. The result of this paper is a model that utilizes techniques from regular crowd flow modelling, physics and regular pathfinding. It starts by developing a procedurally generated map of social forces, through which it determines the most "comfortable" path that will eventually reach its target and uses that map to determine direction, which is used for other models in the simulation system.