公共交通大数据平台架构研究

针对公共交通数据跨公司、跨系统、海量、异构的现状,提出了公共交通大数据平台的核心思想,并依此给出了公共交通大数据平台架构。从个人、企业、政府的需求出发,建立了集成公共交通车辆的全方位调度,其中以数据仓库的方式集成数据层;SOA的方式设计逻辑层;Portal的方式展现表现层。该架构有利于整合公共交通各系统的数据资源,同时能较好地适应海量数据的存储和处理,为构建智能交通提供参考。

Big Data Platform Structure in Public Transportation

For current situation of public transportation data cross-companies,cross-system,massive and heterogeneous,this paper presents the core idea of big data platform structure in public transportation,and gives big data platform structure.Considering individuals,businesses,government's needs,a full range of integrated public transportation vehicles scheduling are established.Data layers are integrated into the data warehouse,logic layers are designed with SOA,and presentation layer is shown with Portal.The architecture is conducive to the integration of various systems of public transport data resources,adapting to mass data storage and processing and providing a reference for building intelligent transportation.