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A multi-objective meta-heuristic approach for the transit network design and frequency setting problem

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dc.creator ÇAPALI, Buket
dc.creator Ceylan, Halim
dc.date 2020-09-30T21:00:00Z
dc.date.accessioned 2021-01-21T09:09:21Z
dc.date.available 2021-01-21T09:09:21Z
dc.identifier e80155cf-931d-4502-9722-6e06485849b8
dc.identifier 10.1080/03081060.2020.1829093
dc.identifier https://avesis.sdu.edu.tr/publication/details/e80155cf-931d-4502-9722-6e06485849b8/oai
dc.identifier.uri http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/88523
dc.description The Transit Network Design and Frequency Setting Problem (TNDFSP) can be defined as the creation of effective routes in a public transport network and the determination of relevant frequencies. Generally, the TNDFSP problem is in the same category as the Traveling Salesman Problem (TSP), which is known to be a non-deterministic polynomial-period (NP-hard) difficult problem. This study consists of two stages: first, the design of a public transport network with an evolutionary optimization technique - the Intelligent Water Drops (IWD) algorithm - based on the TSP and the determination of relevant frequencies; and second, the assignment of passengers to designated routes. All decisions related to public transport network design may be evaluated by considering environmental costs in relation to passengers, operators and the environment. This study presents an acceptable, constructive and original algorithm.
dc.language eng
dc.rights info:eu-repo/semantics/closedAccess
dc.title A multi-objective meta-heuristic approach for the transit network design and frequency setting problem
dc.type info:eu-repo/semantics/article


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