3D dynamic landscape simulation of artificial intelligence in environmental landscape design

Area of Science:

• Environmental Science
• Urban Planning
• Computer Science

Background:

• Traditional landscape planning methods struggle with complex, large-scale environmental data and lack integration with architectural design processes.
• Architects often overlook crucial demographic and behavioral needs, hindering effective urban environmental planning.
• Accurate 3D simulations are vital for land use management, planning, and evaluation.

Purpose of the Study:

• To develop an AI-driven Interactive Design System (IDS-AI) for creating realistic and dynamic 3D landscape models.
• To enhance landscape visualization and optimize decision-making in environmental planning and land use.
• To improve the integration of architectural design with urban environmental planning through interactive simulation.

Main Methods:

• Utilized Artificial Intelligence (AI) and Geographic Information System (GIS) to create a 3D dynamic landscape model from real-world environmental scenes.
• Employed GIS spatial analysis combined with the Fuzzy Analytical Hierarchical Process (FAHP) for accurate decision-making and reduced data overlap in 3D landscape design simulation.
• Developed an interactive interface system for landscape design, enabling visualization of environmental factors and land cover ratios.

Main Results:

• The proposed IDS-AI model demonstrated a significant increase in gradient sensitivity (98.3%) and area coverage ratio (93.4%) compared to existing models.
• The system provides a user-friendly interface with interactive features tailored for contemporary urban environmental landscapes.
• Successfully optimized landscape vision and decision-making processes in environmental land use planning.

Conclusions:

• The IDS-AI system offers a novel and effective approach to 3D dynamic landscape simulation for environmental planning and design.
• The integration of AI, GIS, and FAHP significantly improves the accuracy and efficiency of landscape analysis and decision-making.
• The system supports better urban environmental landscape management, exterior publicity, and domestic assistance through enhanced visualization and interactive features.