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First published January 1998

Data Reconciliation–Based Traffic Count Analysis System

Abstract

Traffic volume data, especially average annual daily traffic (AADT), are important in transportation engineering. They are required in managing and maintaining existing facilities and in planning and designing new facilities. Many state highway agencies use the ramp counting procedure described in FHWA’s Traffic Monitoring Guide to estimate AADTs for freeways. The procedure involves counting all entrance and exit ramps between two established mainline counters (anchor points) and then reconciling the count data to estimate mainline AADT. The reconciling of count data includes three steps. First, AADTs for the ramps and the anchor points are estimated from the count data. Then AADT for each uncounted mainline link is calculated by addition or subtraction of ramp AADT to or from mainline AADT, starting from one anchor point. Finally, adjustments of the AADT are performed to achieve a match at the second anchor point if necessary. The process can be time-consuming and labor-intensive if it is done manually. A computer program to automate the process is required. The traffic count analysis system (TCAS) developed to automate the reconciling of count data in the ramp counting process is described. The TCAS was developed on the basis of data coaptation and data reconciliation techniques frequently used in the processing of network flow rate data. Data coaptation is used to calculate flow rates for uncounted links, and data reconciliation is used to adjust and balance the flow rates. The TCAS has been tested for the two longest freeways in Connecticut. The results are close to those from the ramp counting procedure. However, the TCAS significantly reduces the time and labor required for processing traffic volume data for freeways.

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References

1. Traffic Monitoring Guide. FHWA, U.S. Department of Transportation, Feb. 1995.
2. 1994 Annual Report. State of Connecticut Traffic Monitoring System for Highways (TMS/H). Connecticut Department of Transportation, Aug. 1994.
3. Mah R. S., Stanley G. M., and Downing D. M. Reconciliation and Rectification of Process Flow and Inventory Data. Industrial and Engineering Chemistry Process Design and Development, Vol. 15, No. 1, 1976, pp. 175–183.
4. Serth R. W., and Heenan W. A. Gross Error Detection and Data Reconciliation in Steam-Metering Systems. American Institute of Chemical Engineers Journal, Vol. 32, No. 5, May 1986, pp. 733–742.
5. Kuehn D. R., and Davidson H. Computer Control II: Mathematics of Control. Chemical Engineering Progress, Vol. 57, No. 6, 1961, pp. 44–47.

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Article first published: January 1998
Issue published: January 1998

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© 1998 National Academy of Sciences.
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Ming Zhao
Connecticut Transportation Institute, Civil and Environmental Engineering, University of Connecticut, U-37, Storrs, CT 06269
Norman W. Garrick
Connecticut Transportation Institute, Civil and Environmental Engineering, University of Connecticut, U-37, Storrs, CT 06269
Luke E. K. Achenie
Chemical Engineering, University of Connecticut, Storrs, CT 06269

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