Sustainable Application of Automatically Generated Multi-Agent System Model in Urban Renewal

As cities expand, many old towns face the threat of being renovated or demolished. In recent years, drawbacks extensive urban renewal have become increasingly apparent, and focus development is gradually shifting from efficiency to quality. This study aims combine with emerging technologies address dilemma between quality in renewal. The found that algorithm models based on graph theory, topology, shortest path principles neglect influence internal states visual features pedestrian activity, resulting lower simulation accuracy. Although incorporating into core further improved accuracy, model operates a 3D environment efficiency. To problems insufficient accuracy low efficiency, this proposes dynamic activity multi-agent system features. simulates daily paths using pheromones virtual sensors as core, it was Visibility Graph Analysis could accurately divide environment, thus obtaining more accurate results. Subsequently, optimized model’s agent rules pheromone for automatically generating road paving projects developed, generated results were verified their rationality through design practice. technology can effectively promote preservation historic neighborhoods, providing technical support achieving sustainable development.