Pedestrian modelling: A comparative study using agent-based cellular automata

Abstract

In this paper, we examine pedestrian population dynamics using agent-based cellular automata models. Each pedestrian is treated as an agent, mapped onto a 2-dimensional grid. The behaviour of each agent is modelled as a sequence of specific choices reflecting different levels of autonomy. Simulations of bi-directional agent movement for four behaviours in different environments (corridors of different widths with permanent blocks such as walls) are conducted in order to identify out-comes of the behaviours and recommend a strategy. The results suggest that the "lookahead" behaviour, whilst similar to the "deterministic" behaviour, was strategically the best. Little difference was found betwe..