Generating Urban Road Networks with Conditional Diffusion Models
文献类型:期刊论文
作者 | Gu, Xiaoyan1,2; Zhang, Mengmeng1,2; Lyu, Jinxin1,2; Ge, Quansheng1 |
刊名 | ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
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出版日期 | 2024-06-01 |
卷号 | 13期号:6页码:203 |
关键词 | road network generation generative models diffusion models geospatial context |
DOI | 10.3390/ijgi13060203 |
产权排序 | 1 |
文献子类 | Article |
英文摘要 | The auto-generation of urban roads can greatly improve efficiency and productivity in urban planning and designing. However, it has also raised concerns amongst researchers over the past decade. In this paper, we present an image-based urban road network generation framework using conditional diffusion models. We first trained a diffusion model capable of generating road images with similar characteristics to the ground truth using four context factors. Then, we used the trained model as the generator to synthesize road images conditioned in a geospatial context. Finally, we converted the generated road images into road networks with several post-processes. The experiments conducted in five cities of the United States showed that our model can generate reasonable road networks, maintaining the layouts and styles of real examples. Moreover, our model has the ability to show the obstructive effect of geographic barriers on urban roads. By comparing models with different context factors as input, we find that the model that considers all four factors generally performs the best. The most important factor in guiding the shape of road networks is intersections, implying that the development of urban roads is not only restricted by the natural environment but is more strongly influenced by human design. |
WOS关键词 | LAND-USE ; ACCESSIBILITY ; PARAMETERS |
WOS研究方向 | Computer Science ; Physical Geography ; Remote Sensing |
WOS记录号 | WOS:001256487900001 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/206122] ![]() |
专题 | 陆地表层格局与模拟院重点实验室_外文论文 |
通讯作者 | Ge, Quansheng |
作者单位 | 1.Chinese Acad Sci, Key Lab Land Surface Pattern & Simulat, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
推荐引用方式 GB/T 7714 | Gu, Xiaoyan,Zhang, Mengmeng,Lyu, Jinxin,et al. Generating Urban Road Networks with Conditional Diffusion Models[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2024,13(6):203. |
APA | Gu, Xiaoyan,Zhang, Mengmeng,Lyu, Jinxin,&Ge, Quansheng.(2024).Generating Urban Road Networks with Conditional Diffusion Models.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,13(6),203. |
MLA | Gu, Xiaoyan,et al."Generating Urban Road Networks with Conditional Diffusion Models".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 13.6(2024):203. |
入库方式: OAI收割
来源:地理科学与资源研究所
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