A GIServices-based transportation information resources integration platform
文献类型：会议论文
| 作者 | Jinxing Hu; Qi Ma; Yiru Wang; Jingyue Zhou |
| 出版日期 | 2010 |
| 会议名称 | 6th International Symposium on Digital Earth: Models, Algorithms, and Virtual Reality |
| 英文摘要 | With fast development of urban informationalization, digital city and digital traffic, cross-sectoral and inter-departmental cooperation become increasingly needed. It is of difficulty for GIS system construction to break the information fragmentation, realize the heterogeneous and multi-source geospatial related information integration, sharing and interoperability. Service Oriented Architecture (SOA) is an effective solution to provide data access and application service by Web Services. The combination of GIS and SOA can help GIS business agility, change traditional GIS design, development and application patterns, which promote the conversion of visible GISystems to invisible GIServices. Based on the construction of dynamic transportation data exchange GIService and dynamic path planning GIService, and its integrated application of WebGIS transportation information service system, this paper presents the overall structure of the transportation information resources integration platform, which realizes transportation information resources integration, traffic block information submitting, information exchanging, traffic information query, dynamic traffic information publishing, and dynamic best path query, etc.. The application result proves that it is a better solution for transportation information resources sharing, and it also changes the traditional GIS design, development and application patterns. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/3139]  |
| 专题 | 深圳先进技术研究院_数字所 |
| 作者单位 | 2010 |
| 推荐引用方式 GB/T 7714 | Jinxing Hu,Qi Ma,Yiru Wang,et al. A GIServices-based transportation information resources integration platform[C]. 见:6th International Symposium on Digital Earth: Models, Algorithms, and Virtual Reality. |
入库方式： OAI收割
来源：深圳先进技术研究院
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