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Parameter estimation in a trip distribution model by random perturbation of a descent method

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  • Gonçalves, Mirian Buss
  • de Cursi, José Eduardo Souza

Abstract

We consider the problem of the estimation of some parameters involved in a trip distribution model issued from the Transportation Planning. The estimators of the maximum likelihood of the model are the global minima of a non-convex functional. The numerical method must prevent convergence to local minima and we apply a new algorithm of global optimization involving random perturbations of the gradient method. Numerical experiments involving real data show that the method is effective to calculate.

Suggested Citation

  • Gonçalves, Mirian Buss & de Cursi, José Eduardo Souza, 2001. "Parameter estimation in a trip distribution model by random perturbation of a descent method," Transportation Research Part B: Methodological, Elsevier, vol. 35(2), pages 137-161, February.
    • Handle: RePEc:eee:transb:v:35:y:2001:i:2:p:137-161
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    References listed on IDEAS

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    1. G. M. Hyman, 1969. "The Calibration of Trip Distribution Models," Environment and Planning A, , vol. 1(1), pages 105-112, June.
    2. Wills, Michael J., 1986. "A flexible gravity-opportunities model for trip distribution," Transportation Research Part B: Methodological, Elsevier, vol. 20(2), pages 89-111, April.
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    Cited by:

    1. de Grange, Louis & Troncoso, Rodrigo & Ibeas, Angel & González, Felipe, 2009. "Gravity model estimation with proxy variables and the impact of endogeneity on transportation planning," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(2), pages 105-116, February.

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