Izvestiya of Altai State University, Journal Year: 2025, Volume and Issue: 1(141), P. 123 - 128
Published: April 3, 2025
The article describes the development of a simulation model to analyze behavioral preferences city park visitors. purpose this is identify mass congestion visitors and study load on infrastructure facilities. Analysis these factors necessary when designing new or changing old facilities create favorable public environment increase safety in park. An approach based maximizing utility action using Utility AI utilized simulate human behavior. Behavior trees smart objects are used process events interactions between agents. developed simulates fully collective behavior helps statistical results each run. In particular, application allows identifying places people better understanding specifics visitors’ journey across Also, locate areas where additional elements needed. can be for computer other territories similar type.
Language: Английский