The System Research On The Short-time Traffic Flow Forecasting Based On Data Mining

The urban road transportation condition more and more was in recent years crowded, the transportation question has nearly become the common question which all big, the medium city faced.The four corners are in the municipal transportation network the important node, may assist to the street intersection short-time current capacity accurate forecast improves the street intersection chaotic transportation condition, alleviates the municipal transportation to be crowded, optimizes the city road network movement, simultaneously to the intelligent transportation domain research, the application, implements and promotes the municipal transportation health, the harmony, to develop stably has the vital significance.The data mining is an important research area which the recent years information technology domain emerged.The massive primary data value lies in is possibly hiding some unknown knowledge, may give the people to think provides more help.Along with the data acquisition technology development, the data quantity is more and more big, the attribute more and more are also many, how obtains the effective knowledge from these data is precisely the question which the data mining needs to solve.At present, this research area already became correlation domain and so on the database, information management system, artificial intelligence and policy-making support research topics.How applies the advanced information technology, to quantity day by day huge, category day by day many static states, the dynamic transportation data message and the society information resource carries on the comprehensive development and the effective use, becomes an urgent question, applies the data mining technology in the transportation flows the forecast to have the practical significance.In the data mining earlier period, had to carry on the data warehouse the construction, this article first the overall introduction data warehouse construction process, as well as has made the comprehensive elaboration to the data mining concept and the application, then flowed the data mining technology and the transportation the forecast to unify the synthesis discussion, finally design and realization of the SOA-based high-performance, scalable Intelligent Transportation System Data Mining .This system through the definition based on the XML data mining process description and the general process model connection, realizes the data mining application unification to manage and to transfer, finally has established on the street intersection current capacity forecast application model.