Abstract
The conventional data processing approaches concentrated on statistical nature of the raw data in time domain for intelligent traffic system (ITS), so they cannot effectively eliminated the undesired information, such as space-time sensor error and noise. The difficulty for ITS data processing lies on three hands: the data is abundant, the data is of space-time and the data is of heterogeneity in the ITS. If the abundant heterogeneity data cannot effectively be aggregated, the ITS will be difficult to put into effect for city traffic control. In this paper we introduce the 2-D (two-dimensional) discrete cosine transform (DCT) to process the traffic data both in time domain and space domain. As shown in the paper, the space-time 2-D DCT can effectively compress the real-time heterogeneity data and eliminate the undesired information in the ITS.
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