智慧高速数据挖掘平台设计及其实现

Design and Implementation of Data Mining Platform for Intelligent Expressway

“智慧高速”以高速公路出行者为最终服务对象,立足路段范围内的主动化管理和精细化服务;在服务过程中产生了一系列多源异构的信息数据;如何消除信息孤岛现象,打通各种数据源之间的关联,发现潜在事件链是目前亟待解决的问题;为更好地探讨、解决智慧高速数据挖掘问题,以京港澳高速驻马店至信阳段为例,在较完善的高速公路基础设施之上,将先进的信息技术、通信技术、控制技术、传感器技术以及系统综合技术有效集成并应用于高速公路地面交通数据服务;在规划思路和内容、现有数据资源分类、数据资源架构、数据流程设计、数据共享设计等方面对智慧高速公路数据挖掘平台进行设计,对建立实时、准确、高效的数据共享挖掘机制有一定的借鉴意义。

“Intelligent Expressway” takes expressway travelers as the ultimate service object and bases itself on active management and refined service within the range of road sections. During the service process, a series of multi-source heterogeneous information data have been generated. How to eliminate the phenomenon of information isolated island, get through the correlation between various data sources, and find the potential event chain is an urgent problem to be solved at present. In order to discuss and solve the data mining problem of intelligent expressway, this paper take the G4(Beijing-Hongkong-Macao) expressway, Zhumadian-Xinyang section as an example, on the basis of relatively perfect expressway infrastructure, to integrate the advanced information technology, communication technology, control technology, sensor technology and system integration technology and apply to expressway ground traffic data service. Through designing the data mining platform for intelligent expressway in terms of planning ideas and contents, classification of existing data resources, data resource architecture, data flow design, data sharing design, etc. to provide a reference for the establishment of a real-time, accurate and efficient data sharing and mining mechanism.