Sinclair, Jacob Antony (2020) A data-driven approach towards a realistic and generic crowd simulation framework. PhD thesis, James Cook University.

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Abstract

Jacob Sinclair studied and developed a data-driven approach towards a realistic and generic crowd simulation framework. He found that by using virtual reality and questionnaires, we can gather all types of real world data. He also found that an AI framework developed using all types of data can produce similar results to the real world. This AI framework has the potential to be used to improve areas such as emergency management and response, traffic control, building design, video games, etc.

Item ID:	65241
Item Type:	Thesis (PhD)
Keywords:	crowd simulation, crowd simulation framework, AI framework, agent based framework, real-world data, virtual reality, questionnaires
Related URLs:	https://researchonline.jcu.edu.au/52221/
Copyright Information:	© 2020 Jacob Antony Sinclair.
Additional Information:	One publication arising from this thesis is stored in ResearchOnline@JCU, at the time of processing. Please see the Related URLs. The publication is: Sinclair, Jacob, and Lee, Ickjai (2017) A generic cognitive architecture framework with personality and emotions for crowd simulation. In: Proceedings of the 12th International Conference on Intelligent Systems and Knowledge Engineering. 154. From: ISKE 2017: 12th International Conference on Intelligent Systems and Knowledge Engineering, 24-26 November 2017, Nanjing, China.
Date Deposited:	03 Dec 2020 04:44
FoR Codes:	08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080110 Simulation and Modelling @ 100%
SEO Codes:	89 INFORMATION AND COMMUNICATION SERVICES > 8902 Computer Software and Services > 890201 Application Software Packages (excl. Computer Games) @ 100%
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