Maximization Model of entropy and generalized costs for urban travel distribution
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In this paper we propose the formulation of a model for urban double travel distribution delimited at origin and destination, based on the maximization of entropy and minimization of the generalized travel costs by relaxing the condition that such costs are a parameter, extending the formulation under the assumption that they are fuzzy variables with an intervalar function. In addition, given such assumptions, we propose a formulation of an optimization model associated with discrete choices, and we present a proposal for using the model in predictions. A numerical example is developed for explaining the theory developed.
Travel distribution, maximization of entropy, fuzzy optimization, intervalar costsdistribución de viajes, maximización de la entropía, optimización difusa, costos intervalares.
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