The majority of the models reviewed are tailored to simulate certain aspects of pedestrian movement in specific situations, such as high density crowding.

The JPed Model has been developed to provide a simulation framework allowing agents to be modelled at both low density scenarios such as off peak shopping and higher density situations seen during panic and emergency egress.

JPed also addresses the emerging distinction noted by Haklay, O Sullivan et al. (2001) between agent-based models in the extent to which agent behaviour is determined by limited local information (reactive), or by overall knowledge of global outcomes (cognitive). In previous models most of the cognitive work done by agents occurs outside the dynamic part of the model. It can be argued people know the overall purpose of their trip before they do it, but some may plan as they go along, and pedestrians unfamiliar with an area may have no plans other than to explore, but adapt their behaviour as they become more familiar with the environment.

JPed allows both cognitive and reactive behaviour to be modeled together in the dynamic stage of the simulation. The following section seeks to explain how this is achieved by the JPed model which has been written in Java, operating on a Linux driven desktop.