Creation of dynamic network through agent-based simulation
Crowd simulation helps to predict the behaviour of the system and get information without interacting with the real system. By creating simulation with different scenarios, it helps to predict real-life situations, for example, simulate a situation when evacuation is needed within the virtual enviro...
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sg-ntu-dr.10356-728302023-03-03T20:29:07Z Creation of dynamic network through agent-based simulation Chua, Wan Lin Cai Wentong School of Computer Science and Engineering DRNTU::Engineering::Computer science and engineering Crowd simulation helps to predict the behaviour of the system and get information without interacting with the real system. By creating simulation with different scenarios, it helps to predict real-life situations, for example, simulate a situation when evacuation is needed within the virtual environment. However, in a real-world situation, to evacuate a location, proper arrangements with the Office of Development & Facilities Management of Nanyang Technological University have to be made, which is time-consuming as proper protocol have to be followed. Thus, simulation helps people to learn and take decisions from the output of the system. CrowdsTool is a generic crowd modelling and simulation system developed by Nanyang Technological University. In CrowdsTool, agent-based simulation is adopted. Agent-based simulation is where each individual is modelled as an agent which may have the capabilities to behave in the simulated world. The purpose of this project is to replicate a situation using CrowdsTool with different mobility models where two agents are considered to be interacting with each other if they are in the same location for a specified period of time. Information collected will be used and analysed to check if there is a possibility that there are communication between these agents. Bachelor of Engineering (Computer Science) 2017-11-23T10:34:57Z 2017-11-23T10:34:57Z 2017 Final Year Project (FYP) http://hdl.handle.net/10356/72830 en Nanyang Technological University 39 p. application/pdf |
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DRNTU::Engineering::Computer science and engineering Chua, Wan Lin Creation of dynamic network through agent-based simulation |
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Crowd simulation helps to predict the behaviour of the system and get information without interacting with the real system. By creating simulation with different scenarios, it helps to predict real-life situations, for example, simulate a situation when evacuation is needed within the virtual environment. However, in a real-world situation, to evacuate a location, proper arrangements with the Office of Development & Facilities Management of Nanyang Technological University have to be made, which is time-consuming as proper protocol have to be followed. Thus, simulation helps people to learn and take decisions from the output of the system. CrowdsTool is a generic crowd modelling and simulation system developed by Nanyang Technological University. In CrowdsTool, agent-based simulation is adopted. Agent-based simulation is where each individual is modelled as an agent which may have the capabilities to behave in the simulated world.
The purpose of this project is to replicate a situation using CrowdsTool with different mobility models where two agents are considered to be interacting with each other if they are in the same location for a specified period of time. Information collected will be used and analysed to check if there is a possibility that there are communication between these agents. |
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Cai Wentong |
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Cai Wentong Chua, Wan Lin |
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Final Year Project |
author |
Chua, Wan Lin |
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Chua, Wan Lin |
title |
Creation of dynamic network through agent-based simulation |
title_short |
Creation of dynamic network through agent-based simulation |
title_full |
Creation of dynamic network through agent-based simulation |
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Creation of dynamic network through agent-based simulation |
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Creation of dynamic network through agent-based simulation |
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creation of dynamic network through agent-based simulation |
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2017 |
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http://hdl.handle.net/10356/72830 |
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1759856571545812992 |