Traffic Data Processing System And Research Based On Cloud Computing

The traffic big data provide the most basic data support for "perceive the present,predict the future and serve for the service".It is the basis of modern urban transportation related problems and the guarantee basis for the micro-city road network management and control,and also the necessary for the urban strategic macro-traffic planning method.The intelligent transportation is based on a large amount of traffic comprehensive data,which from intelligent traffic to the ultimate wisdom traffic comes from the data acquisition measures and application processing innovation.Combined with the related big data technology and cloud computing technology,we collect and analyze the traffic comprehensive data,give the definition of big data of traffic,understand the key technologies of data big data system in data redundancy,data modeling and application,and at last establish the efficient and practical traffic big data calculating and analysis platform on cloud,and it has a very important practical significance.This paper studies a variety of application technologies such as the collection,storage,transmission and analysis of the traffic data of taxi reservation made by Hangzhou Transportation Bureau.According to the actual traffic data,this paper builds a cloud computing-based comprehensive management system platform for traffic big data.Based on a large amount of literature and data,this dissertation analyzes related technologies such as cloud computing,big data and big data of traffic,and gives the research status and application prospect of relevant industries.According to the characteristics of urban traffic data,this paper elaborates on cloud computing urban traffic big data platform.The whole design of the cloud computing transportation big data platform is introduced in detail from the data access layer,data service layer and business computing layer of the platform.The detailed structure and optimization of the data access layer are also discussed.This paper studies the principle and method of cloud computing storage in data service layer and builds a data analysis system based on distributed Mongodb storage scheme and real-time stream processing.The data platform integrates four major functions:real-time acquisition,transmission,big data storage,data mining and analysis,providing data protection and policy reference for the traffic department of Hangzhou and ensuring the efficient operation and real-time analysis of the traffic information system.Finally,the dissertation introduces the realization of business computing layer of big data platform of transportation,and emphatically introduces the data analysis and application of Hangzhou taxi subsystem in platform system,realizes big data real-time collection and statistics Analysis,data mining and other functions,introduces the Hangzhou city about the taxi management mode of operation.At present,the cloud-based traffic big data processing system has been put into practical application in the regulation of the taxi reservation of the network of the Hangzhou Communications and Transportation Bureau.After the actual operation,the system is proved to be effective.