Capturing Data and Model Uncertainties in Highway Performance Estimation
Publication: Journal of Transportation Engineering
Volume 126, Issue 6
Abstract
Infrastructure agencies worldwide develop and continue to refine quantitative decision support systems for performance and investment projections. In the earlier stages of the creation of infrastructure decision support systems in the United States, agencies focused on developing appropriate databases and deterministic analysis models to capture important investment and performance relationships. As decision support systems have matured, stronger emphasis has been placed on improving the quality of information for decision makers. Analyzing data and analysis model uncertainties is one logical approach for addressing the information quality of infrastructure decision support systems. This paper develops a computer simulation approach to explore the effects of data and model uncertainties on highway performance estimation, using the federal-level highway decision support system as a case in point. The paper illustrates how data-induced and model-induced influences on the expected value and variance of performance estimates may be used to track real changes in highway performance estimates while capturing changes in the performance evaluation criteria and efficiency of modeling procedures.
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References
1.
Apogee Research Inc. (ARI). ( 1996). “Incorporating additional benefits and disbenefits into the HERS model for national highway investment analysis.” Rep. Prepared for Federal Highway Administration, U.S. Department of Transportation, Washington, D.C.
2.
Federal Highway Administration (FHWA). (n.d.). “The highway performance monitoring system.” Brochure, Publ. No. FHWA-PL-94-031 HPM-20/9-94 (8M) E, U.S. Department of Transportation, Washington, D.C.
3.
Federal Highway Administration (FHWA). ( 1993). Highway performance monitoring system field manual—For the continuing analytical and statistical database, U.S. Department of Transportation, Washington, D.C.
4.
Federal Highway Administration (FHWA). ( 1995). Highway statistics, U.S. Department of Transportation, Washington, D.C.
5.
Federal Highway Administration (FHWA). ( 1997). Highway statistics, U.S. Department of Transportation, Washington, D.C.
6.
Federal Highway Administration (FHWA). ( 1998). “Highway economic requirements system.” Draft Tech. Rep., Vol. 4, U.S. Department of Transportation, Washington, D.C.
7.
Federal Highway Administration (FHWA), Federal Transit Administration (FTA), Maritime Administration (MA). ( 1995). “1995 status of the nation's transportation system.” Condition and Perf. Rep. to Congr., U.S. Department of Transportation, Washington, D.C.
8.
Gruver, J. E. ( 1974). “Highway user investment study.” Transp. Res. Rec. 490, Transportation Research Board, Washington, D.C., 20–30.
9.
Gruver, J. E., and Rulein, W. ( 1983). “Estimating the impacts of changing highway conditions.” Transp. Res. Rec. 940, Transportation Research Board, Washington, D.C., 1–7.
10.
Helton, J. C., and Burmaster, D. ( 1996). “Guest editorial: Treatment of aleatory and epistemic uncertainty in the performance of complex systems.” Reliability Engrg. and Sys. Safety, 54(2-3), 91–94.
11.
Lee, D., Klein, L., and Camus, G. ( 1999). “Induced traffic and induced demand in benefit-cost analysis.” Proc., Transp. Res. Board 78th Annu. Meeting, Washington, D.C. (on CD-ROM).
12.
Morgan, G., and Henrion, M. ( 1990). Uncertainty—A guide to dealing with uncertainty in quantitative risk and policy analysis, Cambridge University Press, London.
13.
Palisade Corp. ( 1997). @RISK advanced risk analysis for spread sheets, Guide to using @RISK, Windows Version.
14.
Parry, G. W. ( 1996). “The characterization of uncertainty in probabilistic risk assessments of complex systems.” Reliability Engrg. and Sys. Safety, 54(2-3), 91–94.
15.
Reubenstein, R. Y., and Melamed, B. ( 1998). Modern simulation and modeling, Wiley Series in Probability and Statistics, Wiley, New York.
16.
U.S. Department of Transportation (USDOT). ( 1997). “1997 status of the nation's transportation system: Condition and performance.” Rep. to U.S. Congr., Washington, D.C.
17.
Webster's II new Riverside University dictionary. (1998). Riverside Publishing Co., Chicago, and Houghton Mifflin, Boston.
18.
Winkler, R. L. ( 1996). “Uncertainty in probabilistic risk assessment.” Reliability Engrg. and Sys. Safety, 54(2-3), 91–94.
Information & Authors
Information
Published In
Journal of Transportation Engineering
Volume 126 • Issue 6 • December 2000
Pages: 455 - 463
History
Received: Dec 6, 1999
Published online: Dec 1, 2000
Published in print: Dec 2000
Authors
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