关键词: 交通数据, Hadoop, MapReduce, Strom, 支持决策

Abstract:

With the great increase of traffic data in information construction project, the traditional way has been unable to guarantee the scalability of the data processing for real-time and data storage, according to this a series of problems, the design called a traffic data analysis system arises at the historic moment, the platform of Hadoop using the MapReduce of the parallel distributed computing for statistical analysis of the data of the vehicle, another platform called storm using the flow computational components for real-time traffic analysis, effective cooperation of two modules, play a good role to ease urban traffic congestion. The test shows that the system has high reliability and fast calculation speed, and it can achieve the function of supporting decision.

Key words: traffic data;Hadoop;MapReduce;Storm;supporting decision