多源数据融合的交通指数标准化云平台技术

A Standard Cloud Platform Technology of Traffic Performance Index Based on Multi-Source Data Fusion

摘要: 交通指数是城市交通治理中最基础、最直观的评估方法。多源数据融合技术，能有效提高交通运行评估的精度。引入互联网实时数据提升了指数的空间维度偏差，尤其是偏远区域；引入定点检测技术则有效校核了指数在时间维度的偏差。本文基于多年的大数据工作实践，首次提出标准化云平台的概念，并阐述了“多源数据接入与处理–软件硬件架构–在线动态发布”等完整的解决方案与实践，通过云平台技术转移，使各城市交通研究者从繁琐的大数据处理和IT技术无边的海洋中解放出来，轻松拥有自身的大数据分析系统，把更多的精力投注于交通本身的技术和算法创新。

Abstract: Traffic index is the most basic and intuitive evaluation method in urban traffic management. Multi-source data fusion technology can effectively improve the accuracy of traffic operation evaluation. Real-time data from the Internet is used to improve spatial dimension deviation of the index, especially in remote areas, and fixed point detection technology to check the time dimension deviation of the index. Based on years of big data working practice, the concept of standardized cloud platform was proposed for the first time. This paper describes the complete solutions and practices such as “multi-source data access and processing-software hardware architecture-online dynamic publishing”. The transfer of cloud platform technology makes each city’s traffic researchers free from the sea of cumbersome big data processing and IT technology, so that they can easily have their own big data analysis system, and focus more on the technology and algorithm innovation of traffic itself.