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- W2944355247 abstract "In this study, we present a bilevel programming model in which upper level is defined as a biobjective problem and the lower level is considered as a stochastic user equilibrium assignment problem. It is clear that the biobjective problem has two objectives: the first maximizes the reserve capacity whereas the second minimizes performance index of a road network. We use a weighted-sum method to determine the Pareto optimal solutions of the biobjective problem by applying normalization approach for making the objective functions dimensionless. Following, a differential evolution based heuristic solution algorithm is introduced to overcome the problem presented by use of biobjective bilevel programming model. The first numerical test is conducted on two-junction network in order to represent the effect of the weighting on the solution of combined reserve capacity maximization and delay minimization problem. Allsop & Charlesworth’s network, which is a widely preferred road network in the literature, is selected for the second numerical application in order to present the applicability of the proposed model on a medium-sized signalized road network. Results support authorities who should usually make a choice between two conflicting issues, namely, reserve capacity maximization and delay minimization." @default.
- W2944355247 created "2019-05-16" @default.
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- W2944355247 date "2019-05-12" @default.
- W2944355247 modified "2023-10-17" @default.
- W2944355247 title "A Simultaneous Solution for Reserve Capacity Maximization and Delay Minimization Problems in Signalized Road Networks" @default.
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- W2944355247 doi "https://doi.org/10.1155/2019/6203137" @default.
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