APPLICATION OF MULTI-AGENT SYSTEM IN URBAN RENEWAL DESIGN
Abstract
As cities expand, many old towns face the threat of being renovated or demolished. In recent
years, the drawbacks of extensive urban renewal have become increasingly apparent, and the
focus of urban development is gradually shifting from efficiency to quality. This study aims to
combine urban renewal with Multi-Agent System (MAS) to address the dilemma between
efficiency and quality in urban renewal. Modern design disciplines frequently use more effective
intelligent technologies and complicated computers due to the advancement of information
technology. In order to provide clients additional value-added services, the industry for urban and
architectural design has been transformed attributable to the research of intelligent technologies. While computer design techniques have achieved success, there is still untapped potential for
MAS in urban and architectural design. The study found that algorithm models based on graph
theory, topology, and shortest path principles neglect the influence of internal states and visual
features on pedestrian activity, resulting in lower simulation accuracy. Although incorporating
internal states and visual features into the core of the algorithm has further improved simulation
accuracy, the model operates in a 3D environment with lower efficiency. To address the problems
of insufficient simulation accuracy and low efficiency, this study proposes a dynamic pedestrian
activity model based on a MAS and incorporating visual features. The model simulates pedestrian
daily activity paths using pheromones and virtual sensors as the core, and it was found that using
Visibility Graph Analysis (VGA) can accurately divide pheromones in the environment, thus
obtaining more accurate simulation results. Subsequently, based on the optimized pedestrian
model's agent activity rules and dynamic pheromone theory, a model for automatically generating
road paving in urban renewal projects was developed, and the generated results were verified for
their rationality through design practice. This technology can effectively promote urban renewal
and the preservation of historic neighborhoods, providing technical support for achieving
sustainable urban development.