Pedestrian Modelling: A Comparative Study Using Agent-Based Cellular Automata
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 outcomes 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 between the “floor fields” and “random walk” behaviours.
KeywordsCellular Automaton Cellular Automaton Cellular Automaton Model Deterministic Behaviour Simple Environment
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