Road network generalization considering traffic flow patterns
文献类型：期刊论文
| 作者 | Yu, Wenhao1,2,3; Zhang, Yifan1; Ai, Tinghua4; Guan, Qingfeng1; Chen, Zhanlong1,2; Li, Haixia1 |
| 刊名 | INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
 |
| 出版日期 | 2019-08-09 |
| 页码 | 31 |
| ISSN号 | 1365-8816 |
| 关键词 | Map generalization stroke traffic flow cartography road network |
| DOI | 10.1080/13658816.2019.1650936 |
| 通讯作者 | Zhang, Yifan(YifanZhang@cug.edu.cn) |
| 英文摘要 | As one of the major concerns in cartographic generalization, road network generalization aims at maintaining the patterns of road networks across map scales. Previous methods define the pattern of road networks mainly from the perspectives of geometry and topology. However, for navigation purposes, traffic flow information is also important to generalize road networks. More specifically, road segments that have a proximity relationship in the traffic flow system should be retained together on small-scale maps to preserve the completeness of the driving route. In this regard, this study proposes an improved method for road network generalization that considers network geometry, topology, and traffic flow patterns. First, strokes are constructed from the road network data based on the 'every best fit' geometric principle. Then, the relationships among strokes are developed on the basis of traffic flow patterns, which are extracted from taxi trajectory data. The strokes are then selected in sequence based on the indicators of geometry, topology, and traffic flow. Our experimental results demonstrate that the proposed method can preserve both the 'Good Continuity' principle and the transport function relationship of roads after generalization. |
| WOS关键词 | SELECTIVE OMISSION ; HIERARCHIES ; STROKES |
| 资助项目 | National Natural Science Foundation of China[41701440] ; National Natural Science Foundation of China[41531180] ; National Natural Science Foundation of China[41871305] ; Natural Science Foundation of Hubei Province[2018CFB513] ; Opening Fund of Key Laboratory of Geological Survey and Evaluation of Ministry of Education[GLAB2019ZR02] ; State Key Laboratory of Resources and Environmental Information System[201801] ; National Key Research and Development Program of China[2017YFB0503500] ; Fundamental Research Funds for the Central Universities, China University of Geosciences (Wuhan)[CUG170640] |
| WOS研究方向 | Computer Science ; Geography ; Physical Geography ; Information Science & Library Science |
| 语种 | 英语 |
| 出版者 | TAYLOR & FRANCIS LTD |
| WOS记录号 | WOS:000480207400001 |
| 资助机构 | National Natural Science Foundation of China ; Natural Science Foundation of Hubei Province ; Opening Fund of Key Laboratory of Geological Survey and Evaluation of Ministry of Education ; State Key Laboratory of Resources and Environmental Information System ; National Key Research and Development Program of China ; Fundamental Research Funds for the Central Universities, China University of Geosciences (Wuhan) |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/69079]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Zhang, Yifan |
| 作者单位 | 1.China Univ Geosci, Sch Geog & Informat Engn, Wuhan, Hubei, Peoples R China 2.China Univ Geosci, Minist Educ, Key Lab Geol Survey & Evaluat, Wuhan, Hubei, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China 4.Wuhan Univ, Sch Resource & Environm Sci, Wuhan, Hubei, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yu, Wenhao,Zhang, Yifan,Ai, Tinghua,et al. Road network generalization considering traffic flow patterns[J]. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE,2019:31. |
| APA | Yu, Wenhao,Zhang, Yifan,Ai, Tinghua,Guan, Qingfeng,Chen, Zhanlong,&Li, Haixia.(2019).Road network generalization considering traffic flow patterns.INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE,31. |
| MLA | Yu, Wenhao,et al."Road network generalization considering traffic flow patterns".INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE (2019):31. |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。