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Estimating an origin-destination table using a method based on shortest augmenting paths

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  • Barbour, Refat
  • Fricker, Jon D.

Abstract

The most well-known origin-destination estimation methods involve entropy maximization or information minimization. However, these methods often require much more information than is available in reliable form, namely, target trip tables and the extent to which each origin-destination path uses each link. In this paper, a second version of the Shortest Augmenting Path Estimation method (SHAPE-2) is introduced, in which target trip tables and path use proportions are not required. In tests to date, SHAPE-2 has produced good results. It has demonstrated good sensitivity to changes in link loadings on small test networks and, on a real network of special interest to the authors, it performed better than any method previously applied.

Suggested Citation

  • Barbour, Refat & Fricker, Jon D., 1994. "Estimating an origin-destination table using a method based on shortest augmenting paths," Transportation Research Part B: Methodological, Elsevier, vol. 28(2), pages 77-89, April.
  • Handle: RePEc:eee:transb:v:28:y:1994:i:2:p:77-89
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    Cited by:

    1. Hai Yang & Qiang Meng & Michael G. H. Bell, 2001. "Simultaneous Estimation of the Origin-Destination Matrices and Travel-Cost Coefficient for Congested Networks in a Stochastic User Equilibrium," Transportation Science, INFORMS, vol. 35(2), pages 107-123, May.
    2. Tao Li, 2017. "A Demand Estimator Based on a Nested Logit Model," Transportation Science, INFORMS, vol. 51(3), pages 918-930, August.
    3. Seungkyu Ryu, 2020. "A Bicycle Origin–Destination Matrix Estimation Based on a Two-Stage Procedure," Sustainability, MDPI, vol. 12(7), pages 1-14, April.
    4. Michel Bierlaire & Frank Crittin, 2006. "Solving Noisy, Large-Scale Fixed-Point Problems and Systems of Nonlinear Equations," Transportation Science, INFORMS, vol. 40(1), pages 44-63, February.
    5. Yong Zhou & Thomas Sachse, 1997. "A few practical problems on the application of OD-estimation in motorway networks," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 5(1), pages 61-80, June.

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