2011
DOI: 10.1080/18756891.2011.9727864
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Determination of the Skip-Stop Scheduling for a Congested Transit Line by Bilevel Genetic Algorithm

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Cited by 37 publications
(34 citation statements)
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“…Khoat and Bernard [3], Milla et al [4], Niu [5], and Chiraphadhanakul et al [6] developed the optimization model based on the main objective of maximizing passenger welfare. Studies in later years focused on the trade-off between the costs for passengers and transit agencies.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Khoat and Bernard [3], Milla et al [4], Niu [5], and Chiraphadhanakul et al [6] developed the optimization model based on the main objective of maximizing passenger welfare. Studies in later years focused on the trade-off between the costs for passengers and transit agencies.…”
Section: Literature Reviewmentioning
confidence: 99%
“…• Metaheuristic genetic algorithms (GAs) have extensively been used for solving skip-stop scheduling problems. See, for instance, [26], [27], [28], [29] and [30].…”
Section: Introductionmentioning
confidence: 99%
“…Niu [3] focuses on how to determine the skip-stop scheduling for a congested urban transit line during the morning rush hours. It presents a nonlinear programming model and a bilevel genetic algorithm to solve the model.…”
Section: Introductionmentioning
confidence: 99%
“…Tan et al [5] deal with the urban rail train stop schedule problem in order to better serve the transport demand. It presents a bilevel modelling similarly to Niu [3] but mathematic programming model with a game theory relation between the two levels differently. It presents an example of ChongQing urban rail line 2 in Chinese urban railway by using the solution approach.…”
Section: Introductionmentioning
confidence: 99%