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Multi-Agent Simulation Collision Avoidance of Complex System: Application to Evacuation Crowd Behavior

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  • Mohammed Chennoufi

    (Department of Computer Science, University of Science and Technology of Oran, Oran, Algeria)

  • Fatima Bendella

    (Department of Computer Science, University of Science and Technology of Oran, Oran, Algeria)

  • Maroua Bouzid

    (University of Caen, Normandy, France)

Abstract

In this work, we present a collision avoidance technique for a crowd robust navigation of individuals in evacuation which is a good example of a complex system. The proposed algorithm is inspired from the Reynolds model, with the addition of several individuals' behavioral criteria as well as a microscopic perception of the environment, which affects their travel speeds and emerging appeared phenomena. Our system is modeled by agent and tested by a Netlogo simulation, several modules such as A* planning, physical and psychological factors of agents have been programmed and successfully inserted into a 3D environment. Our application can be used as a framework to simulate real situations (evacuation of a stadium, a building...) in order to arrive at strategies to decision support of a complex system, which is a real problem in our daily life.

Suggested Citation

  • Mohammed Chennoufi & Fatima Bendella & Maroua Bouzid, 2018. "Multi-Agent Simulation Collision Avoidance of Complex System: Application to Evacuation Crowd Behavior," International Journal of Ambient Computing and Intelligence (IJACI), IGI Global, vol. 9(1), pages 43-59, January.
    • Handle: RePEc:igg:jaci00:v:9:y:2018:i:1:p:43-59
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