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Constrained Estimation of Direct Demand Functions and Trip Matrices

Author

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  • Malachy Carey

    (Carnegie-Mellon University, Pittsburgh, Pennsylvania)

  • Riccardo Revelli

    (Carnegie-Mellon University, Pittsburgh, Pennsylvania)

Abstract

Estimating the parameters of origin destination (OD) travel demand functions, and hence predicting OD trip volumes, requires data on OD travel demands, but data on travel demands between individual OD pairs are often unavailable or are costly to obtain. However, data on sums (or other linear combinations) of OD travel demands are often more easily or more cheaply available. A recent paper in this journal by M. Carey et al. (Carey, M., C. Hendrickson, K. Siddharthan. 1981. A method for direct estimation of origin/destination trip matrices. Trans. Sci. 15 32--49.) presented a constrained least-square estimation model to take advantage of these kinds of data. The statistical properties of the model were not discussed and were not obvious. The present paper extends the model, solves an equality constrained version, and shows that it has desirable statistical properties, and is a special case of a more general model, which is presented and discussed. Also discussed are observational errors in the constraint equations, nonnegativity and inequality constraints and demand functions which are nonlinear in their parameters.

Suggested Citation

  • Malachy Carey & Riccardo Revelli, 1986. "Constrained Estimation of Direct Demand Functions and Trip Matrices," Transportation Science, INFORMS, vol. 20(3), pages 143-152, August.
    • Handle: RePEc:inm:ortrsc:v:20:y:1986:i:3:p:143-152
    DOI: 10.1287/trsc.20.3.143
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    Cited by:

    1. Xie, Chi & Kockelman, Kara M. & Waller, S. Travis, 2011. "A maximum entropy-least squares estimator for elastic origin–destination trip matrix estimation," Transportation Research Part B: Methodological, Elsevier, vol. 45(9), pages 1465-1482.
    2. Doblas, Javier & Benitez, Francisco G., 2005. "An approach to estimating and updating origin-destination matrices based upon traffic counts preserving the prior structure of a survey matrix," Transportation Research Part B: Methodological, Elsevier, vol. 39(7), pages 565-591, August.
    3. Castillo, Enrique & Menéndez, José María & Sánchez-Cambronero, Santos, 2008. "Predicting traffic flow using Bayesian networks," Transportation Research Part B: Methodological, Elsevier, vol. 42(5), pages 482-509, June.

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