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• W2321330983 abstract "The nature and sheer amount of Intelligent Transportation System (ITS) data requires careful and judicious processing to appropriate aggregation levels and sampling frames to make the real-time traffic data more meaningful to transportation planners. Traditional aggregation techniques cannot eliminate the unnecessary noises and are unable to tell out what information was attracted and what remains. In this research, the real time ITS data were decomposed by the wavelet transformation. The measuring noises as well as the various useful signal components were then identified. The proper aggregation level, which is able to capture the required component and eliminate other unnecessary ones, was conducted from the well-designed sampling frequency. As a result of this research, computer software compiled in MATLAB was developed which can provide the aggregation levels and aggregated data series for different planning purposes." @default.
• W2321330983 created "2016-06-24" @default.
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• W2321330983 date "2002-07-10" @default.
• W2321330983 modified "2023-09-23" @default.
• W2321330983 title "Time-Scale Domain Analysis of ITS Data via Wavelet Transformation" @default.
• W2321330983 doi "https://doi.org/10.1061/40630(255)170" @default.
• W2321330983 hasPublicationYear "2002" @default.
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