Agent Simulation of Collision Avoidance Based on Meta-strategy Model

Multi-Agent Simulation Collision Avoidance of Complex System

International Journal of Ambient Computing and Intelligence ◽

10.4018/ijaci.2018010103 ◽

2018 ◽

Vol 9 (1) ◽

pp. 43-59 ◽

Cited By ~ 8

Author(s):

Mohammed Chennoufi ◽

Fatima Bendella ◽

Maroua Bouzid

Keyword(s):

Complex System ◽

Decision Support ◽

Collision Avoidance ◽

Psychological Factors ◽

Daily Life ◽

Real Problem ◽

3D Environment ◽

Agent Simulation ◽

Multi Agent ◽

Behavioral Criteria

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

Emergency and Disaster Management ◽

10.4018/978-1-5225-6195-8.ch050 ◽

2019 ◽

pp. 1067-1084

Author(s):

Mohammed Chennoufi ◽

Fatima Bendella ◽

Maroua Bouzid

Keyword(s):

Complex System ◽

Decision Support ◽

Collision Avoidance ◽

Psychological Factors ◽

Daily Life ◽

Real Problem ◽

3D Environment ◽

Agent Simulation ◽

Multi Agent ◽

Behavioral Criteria

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.

Download Full-text