Modelling And Simulation Of Movements And Behaviours In Large Crowd Using Cellular Automata.

Kumpulan ramai (crowd) adalah satu daripada fenomena yang lumrah dalam kehidupan kita. Reka bentuk bangunan dan tempat-tempat awam hendaklah menjamin tahap keselamatan minimum yang diperlukan serta keselesaan terhadap kesesakan orang ramai. Crowds are one of the ubiquitous phenomena in our life. Design of buildings and public places should therefore guarantee a minimum level of safety, comfort and throughput for the crowd

Agent-Based Simulation Of Crowd At The Tawaf Area.

Every year during the Hajj season there is a concentration of more than two million people within the vicinity of the Masjid Al-Haram. Congested areas, such as the tawaf,, may reach beyond a safe level of four people per square meter during this peak period. The Tawaf area together with the Ottoman construction is able to accommodate up to 72,000 people (in a praying position). Simulation of the movement and behavior of such a huge crowd can be useful in managing this important event. One of the recent trends in modeling and simulation is the agent technology which has been used to model and simulate various phenomenon such as the study of land use, infectious disease modeling, economic and business study, urban dynamic and also pedestrian modeling. In this paper we use multi-agent based method to simulate the crowd at the Tawaf area. We present the architecture of the software platform which implements our proposed model and briefly report our early experience in using- Repast J which is an agent-based simulation toolkit to model the crowd at the area

Agent-based simulation of collective cooperation: from experiment to model

Simulation models of pedestrian dynamics have become an invaluable tool for evacuation planning. Typically, crowds are assumed to stream unidirectionally towards a safe area. Simulated agents avoid collisions through mechanisms that belong to each individual, such as being repelled from each other by imaginary forces. But classic locomotion models fail when collective cooperation is called for, notably when an agent, say a first-aid attendant, needs to forge a path through a densely packed group. We present a controlled experiment to observe what happens when humans pass through a dense static crowd. We formulate and test hypotheses on salient phenomena. We discuss our observations in a psychological framework. We derive a model that incorporates: agents’ perception and cognitive processing of a situation that needs cooperation; selection from a portfolio of behaviours, such as being cooperative; and a suitable action, such as swapping places. Agents’ ability to successfully get through a dense crowd emerges as an effect of the psychological model