TOD(Transit-Oriented Development) is a public transportation-oriented development mode, and as a spatial activity managed by the city will inevitably have an impact on the planning area. How to represent this spatial activity by means of indicators and formulate corresponding rules based on the indicators to reflect the changes generated by urban planning has become the focus of research. This study aims to explore and utilize key indicators that represent the characteristics of TOD scenes in order to realize the restoration of TOD urban scenes at the urban planning level. In this study, the key features of the TOD scene are analyzed in depth, and the indicators that can accurately reflect the characteristics of the TOD city are selected by comprehensively considering factors such as land use, distribution of transportation facilities, and public quality. The corresponding building generation rules are formulated according to the calculation of these indicators. By applying these representative indicators at the level of urban 3D (Three dimensional) modeling, the conditions of TOD city scenes can be better restored and simulated. This approach is expected to provide valuable references for urban planning decision makers to help better understand and analyze the characteristics of TOD scenes so as to optimize the planning and development of cities. In addition, this study also provides a new idea and methodology for modeling TOD scenes, which provides useful reference for future related research and practice.
With the wide application of 3D building cluster models in urban planning, visualization and other fields, how to improve the rendering efficiency and reduce the computational cost of building cluster models has become an important issue. To address this problem, this paper proposes a visual perception evaluation model used to assess the weights of buildings based on multi-factor considerations to determine the order of building simplification, and weights the vertex importance for the classical QEM algorithm to redefine the collapsing cost of the edges, which achieves the purpose of reducing the complexity of the model while maintaining the visual quality. Experimental results show that the algorithm can significantly reduce the model rendering time and computational cost while maintaining the visual quality.
KEYWORDS: 3D modeling, Engineering, Distortion, Roads, Data modeling, 3D projection, Visual process modeling, Visualization, Systems modeling, Geographic information systems
At present, when the ultra-long linear 3D model is loaded in the 3D scene, it is difficult to adapt the ultra-long line model to the terrain model due to the influence of projection distortion. At present, some solutions mainly focus on the model rendering level, without considering the necessity of linear engineering construction, which is hard to encounter the requirements of 3D visualization in the meadow of linear engineering management. Therefore, this paper conducts research from two aspects of projection distortion calculation and analysis, linear engineering independent coordinate system establishment and so on, and puts forward the method of line model loading based on linear independent coordinate system piecewise technology. Firstly, the linear engineering projection distortion is calculated and analyzed. Then, based on the requirements of linear engineering construction accuracy, multiple independent coordinate systems that meet the accuracy requirements are constructed according to the characteristics of linear engineering. Finally, the 3D model of the ultra-long line is piecewise loaded, and the influence caused by the distortion of the projection length is apportioned through each independent coordinate system. The practical consequence indicate that this method can virtually optimize the difficult problem of model and terrain acclimatization caused by projection distortion, and meet the rendering requirements of linear engineering 3D models.
At present, in the related research of 3D line scene, the multi-scale expression method is mostly used to describe the detail degree of geographical features, and there is a lack of a method to describe objects from the perspective of granularity, so it is hard to meet the application requirements of objects in different scenarios. This paper introduces quotient space theory and proposes a representation method of highway geographic entities at different granularity levels. Firstly, the conditions that can be divided into highway geographical entities within the same granularity are determined. Then, the granularity partition model of highway geographic entities is constructed from three aspects: text similarity, literal similarity and semantic distance similarity. Finally, each quotient space is organized by the theory of quotient space particle size synthesis, and the whole geographical entity is divided into multiple granularities, and the experimental verification is carried out. The results show that the method can well meet the multi-level and multi-granularity requirements of geographic entities, and realize the hierarchical optimization of expressway scenes.
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