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

Mirian Buss Gonçalves and José Eduardo Souza de Cursi

Transportation Research Part B: Methodological, 2001, vol. 35, issue 2, 137-161

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.

Date: 2001
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