Intelligent Transportation Big Data Calculations Based On Hadoopapply Research

As computer networks and vehicle networking are widely used in the field of urbantransport, urban transport data need to be processed daily has shown a lot of characteristicsof big data,using traditional information processing techniques to analyze large data of trafficinevitably encounter performance bottlenecks. Hadoop is an application made for theInternet has been widely recognized, for large data computing, the open source big datacomputing system development framework, which use HDFS and MapReduce programmingmodel as the core,exhibit superior computing efficiency in big data computing. With a largenumber of successful applications in many Internet applications in Web search, data miningand user behavior analysis,application of Hadoop-based industry has become a hot spot ofresearch in the field of computer. However,hadoop application for large data of traffic is stillrarely reported.This paper study the information processing method for large data of traffic based onHadoop platform. First,depth study HDFS and MapReduce programming model ofHadoop,and analysis and comparison of currently several common computing platform forbig data; Then, in the actual deployment of Hadoop cluster environment, the design andimplementation of a distributed-induced traffic assignment method, which is known under theconditions of the urban road network data sets can balance traffic induce and optimizetraffic flow distribution, also proposed a method for obtaining urban road network datasetssearch algorithm; Around the above method designed and implemented a traffic informationservice system based on Hadoop, according to the actual travel demand, taking into accountthe optimization the target of urban road network traffic assignment, providing distributedtraffic guidance services to users; By building an intermediate layer to achieve a requestbased on the user access automatically triggers hadoop computing tasks, solve Hadooporiginal work off-line batch mode is not suitable for real-time online information serviceproblems.Finally, through the simulation examples demonstrate the effectiveness of thesystem.