城市轨道交通系统是城市信息化程度较高的一部分，随着规模化和网络化发展，因其自身数据富集的优势，使得以数据为驱动的交通管控技术被广泛应用。建立科学、智能、可扩展的大数据平台，是城市轨道交通大数据资产有效管理和利用的重要保障。从城市轨道交通数据全生命周期特点和线网指挥中心业务需求出发，以南京地铁为例，探讨城市轨道交通大数据平台架构，重点分析存在的难点及应对策略。从数据采集、数据治理、数据仓库的物理架构设计和逻辑架构设计、应用系统支持、数据安全等几个方面，给出大数据平台的架构方案。

Information technology has been extensively used for urban rail transit system. The scalable and networked development of the system has enabled data-driven intelligent transportation technology to be widely applied owing to the benefits of data enrichment of the system. Establishing a scientific, intelligent, and scalable big data platform is an important guarantee for the effective management and utilization of urban rail transit big data assets. This paper begins with the entire life cycle characteristics of urban rail transit data and the business needs of the network control center. Nanjing is taken as an example to discuss the architecture of urban rail transit big data platforms, focusing on existing difficulties and coping strategies. The architecture of the big data platform is given from the aspects of data collection, data management, data security, physical architecture design, and logical architecture design of the data warehouse and application support.

U231

南京地铁“十三五”工程专项科技项目(JS-D6-XY01-0000-1708)；交通运输部建设科技项目(2015318J33080)；江苏省重点研发计划(社会发展)项目(BE2016740)