TECHNICAL PAPERS
Jul 1, 2005

Examining the Quality of Synthetic Origin–Destination Trip Table Estimated by Path Flow Estimator

Publication: Journal of Transportation Engineering
Volume 131, Issue 7

Abstract

Path flow estimator (PFE) is a one-stage network observer proposed in the transportation literature to estimate path flows and path travel times from traffic counts in a transportation network. The estimated path flows can further be aggregated to obtain the origin–destination (OD) flows, which are usually required in many transportation applications. In this paper, we examine the capability of PFE in capturing the total demand of the study network as well as individual OD demands. Numerical examples are provided to show the effects of the number and locations of traffic counts on the quality of OD estimates. The results indicate that PFE has the potential to correctly estimate the total demand when proper observations, in terms of the number and their locations, are provided. In general, the spatial distribution of OD demands is difficult to estimate even when traffic counts are available on all network links.

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Acknowledgment

This research was supported in part by the California Partners for Advanced Transit and Highways (PATH) Program, United States. The contents of this paper reflect the views of the writers who are responsible for the facts and the accuracy of the data presented herein, and do not necessarily reflect the official views or policies of the State of California. This paper does not constitute a standard, specification, or regulation.

References

Ashok, K., and Ben-Akiva, M. E. (1993). “Dynamic origin-destination matrix estimation and prediction for real-time management systems.” Proc., 12th International Symp. on Transportation and Traffic Theory, Berkeley, Calif.
Ashok, K., and Ben-Akiva, M. E. (2000). “Alternative approaches for real-time estimation and prediction of time-dependent origin-destination flows.” Transp. Sci., 34, 21–36.
Ashok, K., and Ben-Akiva, M. E. (2002). “Estimation and prediction of time-dependent origin-destination flows with a stochastic mapping to path flows and link flows.” Transp. Sci., 36(2), 184–198.
Bell, M. G. H. (1984). “The estimation of junction turning volumes from traffic counts: The role of prior information.” Traffic Eng. Control, 25(5), 279–283.
Bell, M. G. H. (1991). “The estimation of origin-destination matrices by constrained generalized least squares.” Transp. Res., Part B: Methodol., 25B, 13–22.
Bell, M. G. H., and Grosso, S. (1998). “The path flow estimator as a network observer.” Traffic Eng. Control, 39, 540–549.
Bell, M. G. H., and Iida, Y. (1997). Transportation network analysis, Wiley, New York.
Bell, M. G. H., and Shield, C. M. (1995). “A log-linear model for path flow estimation.” Proc., 4th International Conf. on the Applications of Advanced Technologies in Transportation Engineering, Carpi, Italy, 695–699.
Bierlaire, M. (2002). “The total demand scale: A new measure of quality for static and dynamic origin-destination trip tables.” Transp. Res., Part B: Methodol., 36B, 755–851.
Bierlaire, M., and Crittin, F. (2004). “An efficient algorithm for real-time estimation and prediction of dynamic OD tables.” Oper. Res., 52(1), 116–127.
Cascetta, E. (1984). “Estimation of origin-destination matrices from traffic counts and survey data: A generalized least squares estimator.” Transp. Res., Part B: Methodol., 18B, 289–299.
Fisk, C. (1980). “Some developments in equilibrium traffic assignment.” Transp. Res., Part B: Methodol., 14B, 243–255.
Fisk, C. (1988). “On combining maximum entropy trip matrix estimation with user equilibrium.” Transp. Res., Part B: Methodol., 22B, 69–73.
Fisk, C. (1989). “Trip matrix estimation from link traffic counts: The congested case.” Transp. Res., Part B: Methodol., 23B, 245–250.
Hazelton, M. L. (2000). “Estimation of origin-destination matrices from link flows on uncongested networks.” Transp. Res., Part B: Methodol., 34B, 549–566.
Madanat, S. M., Hu, S. R., and Krogmeier, J. (1996). “Dynamic estimation and prediction of freeway O-D matrices with route switching considerations and time-dependent model parameters.” Transp. Res. Rec., 1537, Transportation Research Board, Washington, D.C., 98–105.
Maher, M. (1983). “Inferences on trip matrices from observations on link volumes: A Bayesian statistical approach.” Transp. Res., Part B: Methodol., 17B, 435–447.
Maher, M., Zhang, X., and Van Vliet, D. (2001). “A bi-level programming approach for trip matrix estimation and traffic control problems with stochastic user equilibrium link flows.” Transp. Res., Part B: Methodol., 35B, 23–40.
Nanne, J., Zijpp, V. D., and Hamerslag, R. (1994). “Improved Kalman filtering approach for estimating origin-destination matrices for freeway corridors.” Transportation Research Record, 1443, Transportation Research Board, Washington, D.C., 54–63.
Nguyen, S. (1977). “Estimating an OD matrix from network data: A network equilibrium approach.” Transportation planning models, M. Florian, ed., CRT, Univ. de Montréal, Montréal, 363–380.
O’Neil, W. A. (1987). “Origin–destination trip table estimation using traffic counts.” PhD dissertation, Univ. of New York, Buffalo, N.Y.
Sherali, H. D., Arora, N., and Hobeika, A. G. (1997). “Parameter optimization methods for estimating dynamic origin-destination trip tables.” Transp. Res., Part B: Methodol., 31B, 141–147.
Sherali, H. D., and Park, T. (2001). “Estimation of dynamic origin-destination trip tables for a general network.” Transp. Res., Part B: Methodol., 35B, 217–235.
Sherali, H. D., Sivanandan, R., and Hobeika, A. G. (1994). “A linear programming approach for synthesizing origin-destination trip tables from link traffic volumes.” Transp. Res., Part B: Methodol., 28B, 213–234.
Spiess, H. (1987). “A maximum likelihood model for estimating origin-destination matrices.” Transp. Res., Part B: Methodol., 21B, 395–412.
Van Zuylen, H. J. (1979). “The estimation of turning flows on a junction.” Traffic Eng. Control, 20(11), 539–541.
Van Zuylen, H. J., and Willumsen, L. G. (1980). “The most likely trip estimated from traffic counts.” Transp. Res., Part B: Methodol., 14B, 281–293.
Yang, H., Iida, Y., and Sasaki, T. (1992). “Estimation of origin-destination matrices from traffic counts on congested networks.” Transp. Res., Part B: Methodol., 26B, 417–434.
Yang, H., Iida, Y., and Sasaki, T. (1994). “The equilibrium-based origin-destination matrix estimation problem.” Transp. Res., Part B: Methodol., 28B, 23–33.

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Information

Published In

Go to Journal of Transportation Engineering
Journal of Transportation Engineering
Volume 131Issue 7July 2005
Pages: 506 - 513

History

Received: Feb 24, 2004
Accepted: Jun 11, 2004
Published online: Jul 1, 2005
Published in print: Jul 2005

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Authors

Affiliations

Anthony Chen
Associate Professor, Dept. of Civil and Environmental Engineering, Utah State Univ., Logan, UT 84322-4110.
Piya Chootinan
Graduate Student, Dept. of Civil and Environmental Engineering, Utah State Univ., Logan, UT 84322-4110.
Will W. Recker
Professor, Dept. of Civil Engineering, Univ. of California at Irvine, Irvine, CA 92697-3600.

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