2:40 PM - 3:00 PM
[4L3-GS-10-03] Agent-based simulation of in-store customer flow using human trajectory generation AI based on deep learning
Keywords:GPT, human trajectory generation, in-store customer flow, agent-based simulation, deep learning
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.
Authentication for paper PDF access
A password is required to view paper PDFs. If you are a registered participant, please log on the site from Participant Log In.
You could view the PDF with entering the PDF viewing password bellow.