Abstract
This paper proposes a new approach for a crowd navigation in evacuation which is a good example of a complex system. The mathematical concepts such as differential equations is used in simple system but when the complexity increases, these concepts become less effective. The processing of complex systems such as crowd navigation requires the manipulation of vague, imprecise, uncertain, or both imprecise and uncertain information. The proposed approach use path finding for static obstacle and perception of the environment with spatial behaviour for dynamic obstacle, which affects their travel speeds and emerging appeared phenomena. Our system is modelled by agent and tested by a processing simulation, several modules such as A* planning, physical factors of agents have been programmed with java and successfully inserted into a system. The paper presents many simulations for evacuation of crowd behaviour and emergence of the crowd. Experimental results show how our agents can plan the best path with any collision in an unknown environment. Our application can be used as a framework to simulate real situation of complex system.
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Chennoufi, M., Bendella, F. (2021). The Emergence and Decision Support in Complex System with Fuzzy Logic Control. In: Masrour, T., Cherrafi, A., El Hassani, I. (eds) Artificial Intelligence and Industrial Applications. A2IA 2020. Advances in Intelligent Systems and Computing, vol 1193. Springer, Cham. https://doi.org/10.1007/978-3-030-51186-9_13
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