A Multi-objective Optimal Design Process for Determination of Link Capacity Expansions

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dc.contributor.authorAksoy, İlyas Cihan
dc.contributor.authorÇarbaş, Serdar
dc.date.accessioned2025-01-12T17:08:42Z
dc.date.available2025-01-12T17:08:42Z
dc.date.issued2024
dc.departmentKaramanoğlu Mehmetbey Üniversitesi
dc.description.abstractIn recent years, especially in city centres, the rapid increase in the number of vehicles and mobility has triggered transportation-based problems such as traffic congestion, air pollution, and traffic accidents. In order to mitigate these emerging problems, the expansion of link capacities, which is a strategic decision falling under the class of the Road Network Design Problem, seems like a prominent solution method. Although expanding link capacities is an efficient way in terms of reducing travel times of network users, on the other hand, causing the infrastructure investment costs which is needed for expanding link capacities. Hence, within the scope of this study, the principal objective is to identify the optimal capacity increase of links for simultaneously minimizing the total travel times for all users and the infrastructure investment cost of the operator. Addressing this non-convex and NP-Hard design problem entails the utilization of a metaheuristic which is capable of reaching near or near-optimal design solutions for such type of complex engineering problems. To that end, a bi-level optimization model whose upper level generates candidate solutions through the NSGA-III along iterations to reach optimal solutions is proposed. The lower level of the bi-level optimization model calculates, for each candidate solution generated in the upper level, the total travel cost for all users by employing the static user equilibrium traffic assignment model based on Frank-Wolfe algorithm and the infrastructure investment cost derived from expanding link capacities. Numerical experiments are conducted on Sioux Falls Network which has been frequently utilized in prior studies concerning the problem. To better show the impact of different values for the parameters of the NSGA-III on the solution quality, a parameter tunning process is also undertaken. The Pareto optimal solutions of the best Pareto front obtained are compared with those previously reported studies. Additionally, a scenario analysis concerning the monetary (economical) costs for unit link capacity expansions is conducted, as well. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
dc.identifier.doi10.1007/978-3-031-65976-8_4
dc.identifier.endpage97
dc.identifier.issn2198-4182
dc.identifier.scopus2-s2.0-85201929822
dc.identifier.scopusqualityQ2
dc.identifier.startpage77
dc.identifier.urihttps://hdl.handle.net/11492/8977
dc.identifier.volume547
dc.indekslendigikaynakScopus
dc.institutionauthorAksoy, İlyas Cihan
dc.institutionauthorÇarbaş, Serdar
dc.institutionauthoridAksoy, İlyas Cihan/0000-0002-4256-8222
dc.institutionauthoridÇarbaş, Serdar/0000-0002-3612-0640
dc.language.isoen
dc.publisherSpringer Science and Business Media Deutschland GmbH
dc.relation.ispartofStudies in Systems, Decision and Control
dc.relation.publicationcategoryKitap Bölümü - Uluslararası
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20250111
dc.subjectBi-level optimization
dc.subjectLink capacity expansion
dc.subjectMulti-objective optimization
dc.subjectRoad network design problem
dc.titleA Multi-objective Optimal Design Process for Determination of Link Capacity Expansions
dc.typeBook Chapter

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