A hybrid data gathering and agent based cognitive architecture for realistic crowd simulations

Sinclair, Jacob, Suwanwiwat, Hemmaphan, and Lee, Ickjai (2023) A hybrid data gathering and agent based cognitive architecture for realistic crowd simulations. Journal of Simulation, 17 (2). pp. 121-148.

PDF (Accepted Author Manuscript) - Accepted Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (2MB) | Preview
View at Publisher Website: https://doi.org/10.1080/17477778.2021.19...


This paper proposes a realistic agent-based framework for crowd simulations that can encompass the input phase, the simulation process phase, and the output evaluation phase. In order to achieve this gathering, the three types of real-world data (physical, mental and visual) need to be considered. However, existing research has not used all the three data types to develop an agent-based framework since current data gathering methods are unable to collect all the three types. This paper introduces anew hybrid data gathering approach using a combination of virtual reality and questionnaires to gather all three data types. The data collected are incorporated into the simulation model to provide realism and flexibility. The performance of the framework is evaluated and benchmarked to prove the robustness and effectiveness of our framework. Various types of settings (self-set parameters and random parameters) are simulated to demonstrate that the framework can produce real-world like simulation.

Item ID: 68870
Item Type: Article (Research - C1)
ISSN: 1747-7786
Keywords: Agent-based simulation; data gathering; virtual reality; questionnaire; cognitive architecture
Copyright Information: © Operational Research Society 2021. Accepted Version: © 2021. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/CC BY-NC-ND
Date Deposited: 02 Aug 2021 01:32
FoR Codes: 46 INFORMATION AND COMPUTING SCIENCES > 4602 Artificial intelligence > 460207 Modelling and simulation @ 100%
SEO Codes: 22 INFORMATION AND COMMUNICATION SERVICES > 2204 Information systems, technologies and services > 220499 Information systems, technologies and services not elsewhere classified @ 100%
Downloads: Total: 612
Last 12 Months: 67
More Statistics

Actions (Repository Staff Only)

Item Control Page Item Control Page