Network design models allow to define an optimal network configuration by means of objective functions subject to a series of constraints. The starting data and/or the constraints of the problem can be affected by uncertainty. These uncertain values are better managed through the use of fuzzy values/constraints. In this paper we present a fuzzy non-linear programming to solve the equilibrium Network Design problem for urban areas. This problem is formulated as a fixed point optimization subject to fuzzy constraints. The proposed method has been applied to a test network. The obtained results show that the proposed approach is very interesting

Traffic equilibrium network design problem under uncertain constraints / Caggiani, L.; Ottomanelli, M.. - In: PROCEDIA: SOCIAL & BEHAVIORAL SCIENCES. - ISSN 1877-0428. - 20:(2011), pp. 372-380. [10.1016/j.sbspro.2011.08.043]

Traffic equilibrium network design problem under uncertain constraints

Caggiani, L.;Ottomanelli, M.
2011-01-01

Abstract

Network design models allow to define an optimal network configuration by means of objective functions subject to a series of constraints. The starting data and/or the constraints of the problem can be affected by uncertainty. These uncertain values are better managed through the use of fuzzy values/constraints. In this paper we present a fuzzy non-linear programming to solve the equilibrium Network Design problem for urban areas. This problem is formulated as a fixed point optimization subject to fuzzy constraints. The proposed method has been applied to a test network. The obtained results show that the proposed approach is very interesting
2011
Traffic equilibrium network design problem under uncertain constraints / Caggiani, L.; Ottomanelli, M.. - In: PROCEDIA: SOCIAL & BEHAVIORAL SCIENCES. - ISSN 1877-0428. - 20:(2011), pp. 372-380. [10.1016/j.sbspro.2011.08.043]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/2255
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