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https://hdl.handle.net/11499/7998
Title: | Optimal design of signal controlled road networks using differential evolution optimization algorithm | Authors: | Ceylan, Hüseyin | Keywords: | Bilevel programming problem Congestion minimization Differential evolution optimization algorithms Optimization algorithms Simulation-optimization models Stochastic user equilibrium Traffic assignment problem Traffic signal settings Genetic algorithms Motor transportation Network performance Street traffic control Traffic congestion Traffic signals Computer simulation |
Abstract: | This study proposes a traffic congestion minimization model in which the traffic signal setting optimization is performed through a combined simulation-optimization model. In this model, the TRANSYT traffic simulation software is combined with Differential Evolution (DE) optimization algorithm, which is based on the natural selection paradigm. In this context, the EQuilibrium Network Design (EQND) problem is formulated as a bilevel programming problem in which the upper level is the minimization of the total network performance index. In the lower level, the traffic assignment problem, which represents the route choice behavior of the road users, is solved using the Path Flow Estimator (PFE) as a stochastic user equilibrium assessment. The solution of the bilevel EQND problem is carried out by the proposed Differential Evolution and TRANSYT with PFE, the so-called DETRANSPFE model, on a well-known signal controlled test network. Performance of the proposed model is compared to that of two previous works where the EQND problem has been solved by Genetic-Algorithms- (GAs-) and Harmony-Search- (HS-) based models. Results show that the DETRANSPFE model outperforms the GA- and HS-based models in terms of the network performance index and the computational time required. © 2013 Huseyin Ceylan. | URI: | https://hdl.handle.net/11499/7998 https://doi.org/10.1155/2013/696374 |
ISSN: | 1024-123X |
Appears in Collections: | Mühendislik Fakültesi Koleksiyonu Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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696374.pdf | 2.21 MB | Adobe PDF | View/Open |
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