城市智慧交通管理大数据平台架构及设计探讨

Framework and Design Discussion on Big Data Platform for City Smart Traffic Management

随着我国经济高速发展以及城市建设脚步不断加快,交通拥堵、交通肇事等问题日益严峻,城市交通管理压力与日俱增。与此同时,交通管理相关数据来源广泛、数据类型多样、数据质量参差不齐,制约着城市交通管理的数字化、智慧化进程。为了高效整合多源异构交通数据资源,提出了城市智慧交通管理大数据平台架构,并针对平台建设原则、主要功能结构、关键技术进行探讨,能够为城市智慧交通管理大数据平台的建设提供理论支持和技术积累。

With the rapid development of China economy and city construction,traffic congestion,traffic accidents and other problems are becoming increasingly serious,and the pressure of city traffic management is increasing day by day. Meanwhile,traffic management related data sources are wide,data types are diverse and data quality is uneven,which restricts the digital and intelligent process of city traffic management. In order to efficiently integrate multi-source and heterogeneous traffic data resources,a big data platform architecture for city intelligent traffic management is proposed,and discusses the platform construction principles,main function structure and key technologies,which can provide theoretical support and technical accumulation for the construction of the big data platform of city smart traffic management.