Urban transit network design problems: a review of population-based metaheuristics
The urban transit network design problem (UTNDP) involves the development of a transit route set and associated schedules for an urban public transit system. The design of efficient public transit systems is widely considered as a viable option for the economic, social, and physical structure of an...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Universiti Putra Malaysia Press
2016
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| Online Access: | http://psasir.upm.edu.my/id/eprint/56128/ http://psasir.upm.edu.my/id/eprint/56128/1/Urban%20transit%20network%20design%20problems%20a%20review%20of%20population-based%20metaheuristics.pdf |
| _version_ | 1848852995363569664 |
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| author | Tarajo, Buba Ahmed Lee, Lai Soon |
| author_facet | Tarajo, Buba Ahmed Lee, Lai Soon |
| author_sort | Tarajo, Buba Ahmed |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | The urban transit network design problem (UTNDP) involves the development of a transit route set and associated schedules for an urban public transit system. The design of efficient public transit systems is widely considered as a viable option for the economic, social, and physical structure of an urban setting. This paper reviews four well-known population-based metaheuristics that have been employed and deemed potentially viable for tackling the UTNDP. The aim is to give a thorough review of the algorithms and identify the gaps for future research directions. |
| first_indexed | 2025-11-15T10:46:56Z |
| format | Article |
| id | upm-56128 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T10:46:56Z |
| publishDate | 2016 |
| publisher | Universiti Putra Malaysia Press |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-561282017-07-03T09:38:39Z http://psasir.upm.edu.my/id/eprint/56128/ Urban transit network design problems: a review of population-based metaheuristics Tarajo, Buba Ahmed Lee, Lai Soon The urban transit network design problem (UTNDP) involves the development of a transit route set and associated schedules for an urban public transit system. The design of efficient public transit systems is widely considered as a viable option for the economic, social, and physical structure of an urban setting. This paper reviews four well-known population-based metaheuristics that have been employed and deemed potentially viable for tackling the UTNDP. The aim is to give a thorough review of the algorithms and identify the gaps for future research directions. Universiti Putra Malaysia Press 2016 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/56128/1/Urban%20transit%20network%20design%20problems%20a%20review%20of%20population-based%20metaheuristics.pdf Tarajo, Buba Ahmed and Lee, Lai Soon (2016) Urban transit network design problems: a review of population-based metaheuristics. Pertanika Journal of Scholarly Research Reviews, 2 (3). pp. 86-99. ISSN 2462-2028 http://pjsrr.upm.edu.my/volume/vol-23-2016/# |
| spellingShingle | Tarajo, Buba Ahmed Lee, Lai Soon Urban transit network design problems: a review of population-based metaheuristics |
| title | Urban transit network design problems: a review of population-based metaheuristics |
| title_full | Urban transit network design problems: a review of population-based metaheuristics |
| title_fullStr | Urban transit network design problems: a review of population-based metaheuristics |
| title_full_unstemmed | Urban transit network design problems: a review of population-based metaheuristics |
| title_short | Urban transit network design problems: a review of population-based metaheuristics |
| title_sort | urban transit network design problems: a review of population-based metaheuristics |
| url | http://psasir.upm.edu.my/id/eprint/56128/ http://psasir.upm.edu.my/id/eprint/56128/ http://psasir.upm.edu.my/id/eprint/56128/1/Urban%20transit%20network%20design%20problems%20a%20review%20of%20population-based%20metaheuristics.pdf |