2020
DOI: 10.1007/s10878-020-00647-4
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A bi-objective decision model and method for the integrated optimization of bus line planning and lane reservation

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Cited by 14 publications
(4 citation statements)
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“…In the publication, a model representing a closed transport task taking into account the time criterion was described with the following relations (1)-( 6) [7,[62][63][64][65]. The objective function, understood as the minimization of the maximum value of the product transport time on all available routes, was expressed by relation (1):…”
Section: Mathematical Modelmentioning
confidence: 99%
“…In the publication, a model representing a closed transport task taking into account the time criterion was described with the following relations (1)-( 6) [7,[62][63][64][65]. The objective function, understood as the minimization of the maximum value of the product transport time on all available routes, was expressed by relation (1):…”
Section: Mathematical Modelmentioning
confidence: 99%
“…Examples of recently proposed algorithms include various evolutionary algorithms (Bourbonnais et al, 2021;Camporeale et al, 2019;Duran-Micco et al, 2020;Manser et al, 2020;Owais and Osman, 2018), hyper-heuristics (Ahmed et al, 2019), swarm-based metaheuristics (Liu et al, 2020), among others. Some exact methods have been proposed as well, although these are applied to solve simplified version of the problem or only very small instances (Suman and Bolia, 2019;Vermeir et al, 2021;Wu et al, 2020).…”
Section: Literature Reviewmentioning
confidence: 99%
“…On the contrary, the operator's point of view is mostly modelled by the sum of the length of all the lines, or a function directly related to it. Some studies consider additional cost elements related to infrastructure, such as the cost of assigning segregated lanes (Wu et al 2020b) or the construction of charging stations for electric buses (Iliopoulou and Kepaptsoglou 2019;Liu et al 2020c). Instead of just minimizing the costs, a few studies maximize the profits including the revenue, which depends on how much demand is captured by the network under design (Cadarso and Marín 2016;Cadarso et al 2017).…”
Section: Objective Functionmentioning
confidence: 99%
“…Just a few studies have proposed mathematical formulations and solve these with exact methods. However, this can be done only in very simplified versions of the problem or in very small instances (Cadarso and Marín 2016;Cadarso et al 2017;Gutiérrez-Jarpa et al 2017;Suman and Bolia 2019;Wu et al 2020b;De-Los-Santos et al 2021). Metaheuristics have shown to be efficient to find good solutions for the TNDP, and their flexibility allows to tackle the different variants of the problem.…”
Section: Solution Approachesmentioning
confidence: 99%