Title: ITS Data Quality Control Techniques and Applications
Abstract: Through a synthesis of the data characteristics related to the Intelligent Transportation Systems (ITS) data quality control, this paper proposes an ITS data quality control algorithm, which designs the corresponding identifying principles for the erroneous, missing and inaccurate data based on the threshold and traffic flow theories, and utilizes the numerical method to make corrections. Further, a correcting algorithm to the temporal points of ITS data is presented. The comparison of the data characteristics for before and after quality controls, in the applications to two different time series of ITS data from Beijing and San Antonio in U.S. demonstrates that the proposed algorithm can solve the data quality problems effectively, which improves the level of the data accuracy. Finally, a summary is provided to the conclusion and experience on the ITS data quality control.
Publication Year: 2005
Publication Date: 2005-01-01
Language: en
Type: article
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Cited By Count: 3
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