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Agent-based simulation of in-store customer flow using human trajectory generation AI based on deep learning
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- HORIKOMI Taizo
- The Graduate University for Advanced Studies, Sokendai
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- MIZUNO Takayuki
- National Institute of Informatics
Bibliographic Information
- Other Title
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- 深層学習による人流生成AIを用いた小売店舗内顧客動線のエージェントベースシミュレーション
Description
<p>An agent-based simulation of customer flow in a retail store was conducted by incorporating a human flow generation AI using GPT architecture into the agent. The simulation takes into account the congestion during store visits and interactions with neighboring agents from time to time. The obtained results are compared with conventional agent-based simulations.</p>
Journal
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- Proceedings of the Annual Conference of JSAI
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Proceedings of the Annual Conference of JSAI JSAI2024 (0), 4L3GS1003-4L3GS1003, 2024
The Japanese Society for Artificial Intelligence
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Keywords
Details 詳細情報について
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- CRID
- 1390863395972605440
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- ISSN
- 27587347
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- Text Lang
- ja
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- Data Source
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- JaLC
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- Abstract License Flag
- Disallowed