Genetic Algorithm for Multiuser Discrete Network Design Problem under Demand Uncertainty

Wu Juan, Lu Huapu, Yu Xinxin and Bian Changzhi

Mathematical Problems in Engineering, 2012, vol. 2012, 1-17

Abstract:

Discrete network design is an important part of urban transportation planning. The purpose of this paper is to present a bilevel model for discrete network design. The upper-level model aims to minimize the total travel time under a stochastic demand to design a discrete network. In the lower-level model, demands are assigned to the network through a multiuser traffic equilibrium assignment. Generally, discrete network could affect path selections of demands, while the results of the multiuser traffic equilibrium assignment need to reconstruct a new discrete network. An iterative approach including an improved genetic algorithm and Frank-Wolfe algorithm is used to solve the bi-level model. The numerical results on Nguyen Dupuis network show that the model and the related algorithms were effective for discrete network design.

Date: 2012
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:686272

DOI: 10.1155/2012/686272

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