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Research article
First published January 2002

Costs and Benefits of Using Intelligent Transportation Systems as an Alternative Data Source: Case Study

Abstract

Intelligent transportation systems (ITSs) are an alternative data source that could lead to win–win situations: this source will not only benefit the transportation operations and planning communities by allowing them to access more and better data, but it will also enhance the appeal of ITS deployment by significantly broadening its originally intended benefits. Use of ITS-generated data as an alternative data resource is reflected in the archived data user services (ADUS) in the national ITS architecture. Usually, an agency will evaluate the costs and the benefits of ADUS before it decides whether to deploy ADUS. The costs and benefits of ADUS are examined on the basis of results from a case study in which ITS-generated traffic data were analyzed to determine whether they can help meet such traffic data needs as estimating the total travel volume and the total vehicle miles traveled. The cost is measured in terms of the effort needed to archive and reformat the data, revamp the software, and address data quality and data integration issues. The benefits are measured in terms of the value added by the ITS-generated data. Although the costs are high to use ITS-generated data for purposes other than the originally intended use, the research has proved that ITS-generated data can improve transportation decisions by, in this case, improving traffic estimates.

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References

1. Hu P., Goeltz R. T., and Schmoyer R. L. Proof of Concept of ITS as an Alternative Data Resource: A Demonstration Project of Florida and New York Data. Oak Ridge National Laboratory, Oak Ridge, Tenn., 2001.
2. Schmoyer R., Hu P. S., and Goeltz R. T. Statistical Data Filtering and Aggregation to Hour Totals of Intelligent Transportation System 30-S and 5-Min Vehicle Counts. In Transportation Research Record: Journal of the Transportation Research Board, No. 1769, TRB, National Research Council, Washington, D.C., 2001, pp. 79–86.
3. Cambridge Systematics, Inc. Strategic Plan for the Development of ADUS Standards. http://www.itsdocs.fhwa.dot.gov//JPODOCS/REPTS_PR/9Q301!.PDF. Accessed May 2000.
4. AITS Data Archiving: Five-Year Program Description. U.S. Department of Transportation, 2000.
5. Turner S. M., Eisele W. L., Gazewski B. J., Albert L. P., and Banz R. J. AITS Data Archiving: Case Study Analyses of San Antonio TransGuide Data. FHWA-PL-99-024. Texas Transportation Institute, College Station, 1999.

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Article first published: January 2002
Issue published: January 2002

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© 2002 National Academy of Sciences.
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Pat S. Hu
Center for Transportation Analysis, Oak Ridge National Laboratory, P.O. Box 2008, MS-6073, Building 3156, Oak Ridge, TN 37831-6073
Richard T. Goeltz
Center for Transportation Analysis, Oak Ridge National Laboratory, P.O. Box 2008, MS-6073, Building 3156, Oak Ridge, TN 37831-6073
Richard L. Schmoyer, Jr.
Center for Transportation Analysis, Oak Ridge National Laboratory, P.O. Box 2008, MS-6073, Building 3156, Oak Ridge, TN 37831-6073

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