Road dynamic landscape design and simulation based on fuzzy clustering algorithm

Abstract

Against the backdrop of rapid economic growth and continuous expansion of road networks in China, the planning, design, greening, and beautification of roads at all levels have entered a systematic implementation phase. Particularly noteworthy is the emergence of dynamic road landscape design as a major focus in the research on urban road beautification in the new era. This paper proposes a road dynamic landscape optimization design scheme based on the fuzzy clustering algorithm. It analyzes the primary elements constituting dynamic road landscapes and summarizes the fundamental principles for designing such landscapes. The fuzzy clustering method is employed to classify different road landscapes, optimizing the design system. Through simulation experiments, the effectiveness of the proposed scheme is validated, with results indicating an 8.34% higher accuracy compared to traditional methods. The study suggests that such road design not only meets basic traffic needs but also achieves greening and beautification effects while catering to users visual and psychological needs, showcasing the unique cultural, historical, and lifestyle characteristics of the city. Furthermore, this design fosters harmonious integration between roads and their ancillary structures and surrounding buildings, significantly improving the citys landscape and living environment.