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The development of Artificial Intelligent will strongly influence the data mining routine of the future. As a consequence of a rapid development of the Intelligent Method and an increasing computational power new therapeutic and diagnostic methods are used today allowing higher standards in quality and efficiency of data mining which includes the image, the sound and so on. In order to get the better efficient data and decision, we build the intelligent system which mainly provides a powerful tool for the solution of the massive data mining and complex problems in the urban traffic monitor system.This paper provides an investigation on the application of cluster computing in the field of traffic image that could efficiently increase the throughput. Also that the most commonly used Image processing algorithms in the domain are discussed with the ways and means by which parallelism could be exploited.