Research On The Relevant Technology Of Data Processing Analysis Platform For Driving Cycle Of Intercity Bus

With the rapid development of information technology, there will undoubtedly be massive data in all walks of life. Statistical analysis of these data from has become an important issue, by data mining. In the automotive industry driving cycle is a project for mining the data of driving. A driving cycle is a series of data points representing the speed of a vehicle versus time by different countries and organizations to assess the performance of vehicles in various ways. It provides the data reference for example fuel consumption, polluting emissions, development the new sort of cars and local traffic.Learned from the international advanced design methods of driving cycles and data mining system, realize data processing analysis platform for driving cycle of intercity bus in this paper. The design method of driving cycles of Hefei City is studied and developed.After data of driving has been collected, based on the size in data and characteristic, the research on this related technique will applied to the platform. Comparing to the determination methods of driving cycle, PCA-Clustering method becomes core algorithm to design driving cycle. Meanwhile, to study the characteristics of PCA-Clustering method is enough to improve it. In this paper data normalization of the method improves data equalization. Through the theoretical and practical data verification, proposed algorithm performs better.After preparing work, this article realizes data processing analysis platform using the Java programming language. The platform implements function such as data store, data analysis and result display.After the completion of research, the relevant technology of data processing analysis platform for driving cycle of intercity bus is summarized. By find the merit and demerit, future work is proposed.