摘要
智慧交通系统逐渐引起了城市地理学者的重视,被定义为超高效能和数据驱动的城市交通和移动系统。然而,多元化的交通数据资源分散在各个数据仓库里,使得各个交通子系统之间功能和技术上相互独立,缺乏不同系统之间的互操作性,很难实现跨系统的信息共享,造成信息资源共享的困难。文章基于交通数据资源具有时空和地理属性,通过分析智慧交通“社会-技术”生态系统现状,建立了一个智慧交通数据整合顶层系统设计架构并进行了总体设计。以期望为政策制定者和决策者提供实践层面和政治层面的现实意义。
The smart transportation system(STS)has gained growing traction amongst urban geographers to refer to ultra-efficient and data-driven urban transportation and mobility systems.However,the diversified traffic data resources are scattered in various data warehouses,which makes each traffic subsystem functionally and technically independent from each other,and lacks the interoperability between different systems,which makes it difficult to realize cross-system information sharing,resulting in the difficulty of information resource sharing.Based on the spatiotemporal and geographical attributes of traffic data resources,this paper analyzes the status quo of the“social-technical”ecosystem of intelligent transportation,establishes a top-level system design architecture for intelligent transportation data integration and carries out the overall design.It is hoped that is provide practical and political relevance to policy and decision makers.
作者
吴秀丽
马会林
陆晓璇
WU Xiuli;MA Huilin;LU Xiaoxuan(Third Surveying and Mapping Institute of Hebei Province,Shijiazhuang 050000,China;Second Surveying and Mapping Institute of Hebei Province,Shijiazhuang 050000,China;Land and Resources Exploration Center of Hebei Province Geology and Mineral Resources Exploration Bureau,Shijiazhuang 050000,China)
出处
《城市勘测》
2024年第3期68-71,共4页
Urban Geotechnical Investigation & Surveying
