Implementation of a Data Processing Method to Enhance the Quality and Support the What-If Analysis for Traffic History Data


The KIPS Transactions:PartD, Vol. 17, No. 2, pp. 87-102, Apr. 2010
10.3745/KIPSTD.2010.17.2.87,   PDF Download:

Abstract

A vast amount of traffic data is produced every day from detection devices but this data includes a considerable amount of errors and missing values. Moreover, this information is periodically deleted before it could be used as important analysis information. Therefore, this paper discusses the implementation of an integrated traffic history database system that continuously stores the traffic data as a multidimensional model and increases the validity and completeness of the data via a flow of processing steps, and provides a what-if analysis function. The implemented system provides various techniques to correct errors and missing data patterns, and a what-if analysis function that enables the analysis of results under various conditions by allowing the flexible definition of various process related environment variables and combinations of the processing flows. Such what-if analysis functions dramatically increase the usability of traffic data but are not provided by other traffic data systems. Experimantal results for cleaning the traffic history data showed that it provides superior performance in terms of validity and completeness.


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Cite this article
[IEEE Style]
M. S. Lee, S. J. Cheong, O. J. Choi, B. Y. Meang, "Implementation of a Data Processing Method to Enhance the Quality and Support the What-If Analysis for Traffic History Data," The KIPS Transactions:PartD, vol. 17, no. 2, pp. 87-102, 2010. DOI: 10.3745/KIPSTD.2010.17.2.87.

[ACM Style]
Min Soo Lee, Su Jeong Cheong, Ok Ju Choi, and Bo Yeon Meang. 2010. Implementation of a Data Processing Method to Enhance the Quality and Support the What-If Analysis for Traffic History Data. The KIPS Transactions:PartD, 17, 2, (2010), 87-102. DOI: 10.3745/KIPSTD.2010.17.2.87.