| In recent years, with the development of intelligent transportation, application for cell phone handover positioning technology is also carried out step by step, however, the current technology is still faced with a series of problems that should be solved, and cell phone handover path matching is also one of the key problems. This paper analyses the shortage of the traditional method, and an EMD(Earth Mover’s Distance) algorithm that is widely applied to different pattern recognition in nearly years is introduced in order to distinguish between different road cell handover sequences, since cell handover sequence itself can also be acted as a kind of distribution mode, and the parameters of inner contains handover stations, handover time, and all of them needs to be consistent with the EMD algorithm model. Furthermore, faced with the same cell phone handover positioning technology is a big problem to encounter-data source, using the simulation modeling method, the cell phones handover mechanism and deep insight into handover path based on the principle of matching problems, establishing a wireless communication simulation platform by integrating transportation with handover-based cellular dual network data, as an important support on basic data source.The EMD algorithm originates in the optimal scheme selection about the transportation problem, its principle of mathematical model comes from the linear programming problem, the solving method is relatively mature. The Algorithm is introduced into the mode decision of the cell phone handover with effectively and corresponding calculation of parameters, as is the basic idea applied to solve problems. Given conclusion mining needs a certain amount of work for data processing and analysis, with the help of Matlab programming language platform for algorithm calculation, it not only saves a lot of artificial computational efforts but also gets more efficient and accurate data analysis results. To facilitate mining from large amounts of data processing results of important conclusions and cell phone handover path matching method research, the paper designs the algorithm which is applied to the cell phone handover sequences to distinguish the experiment scheme, targeted the data packet processing, first of all, get a conclusion from the results of the training data analysis:cell phone handover sequences on the same road between the EMD value is far less than that between different path handover sequences on MED value, accordingly, put forward to the cell phone handover sequences path matching method-the EMD distance matrix matching method. On the basis of it, the data of test group are used to cell phone handover path matching, its results show the feasibility of the method. |