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

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Author(s): Mohammed Chennoufi (University of Science and Technology of Oran, Algeria), Fatima Bendella (University of Science and Technology of Oran, Algeria)and Maroua Bouzid (University of Caen, France)
Copyright: 2019
Pages: 18
Source title: Emergency and Disaster Management: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-6195-8.ch050

Keywords: Business Science Reference / Crisis Response and Management / Emergency & Disaster Management / Government & Law

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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.

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

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