Approximate multi-objective optimization for integrated bus route design and service frequency setting
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Description
This paper focuses on the transit network design and frequency setting problem for bus transit systems, where solutions are simultaneously generated in favor of the passengers and operator. While multi-objective solutions exist in the literature, simplifications and inconsistent assumptions make them hard to compare. For example; researchers have proposed solutions that report on a minimal fleet size without considering the service frequencies that guide the passenger's travel options, as a result, logical choices made by all passengers would cause the buses in the transit system to be overcrowded. To address this issue, we have developed a mathematical model which couples service frequencies and passenger assignment reflective of available choice options a passenger can take in the network. This approach can achieve lower operating costs while still ensuring that passengers can reach their destination at no detriment to journey times. We have constructed a complete set of multi-objective solutions, and compared them with those in the literature. The experiments demonstrate that our current solutions generally dominate those in the literature.
Impact and interest:
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ID Code: | 226844 | ||||
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Item Type: | Contribution to Journal (Journal Article) | ||||
Refereed: | Yes | ||||
ORCID iD: |
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Measurements or Duration: | 25 pages | ||||
Keywords: | Frequency setting, Metaheuristics, Multi-objective, Route design, Simulated annealing | ||||
DOI: | 10.1016/j.trb.2021.10.007 | ||||
ISSN: | 0191-2615 | ||||
Pure ID: | 102314997 | ||||
Divisions: | Current > Research Centres > Centre for Data Science Current > Research Centres > Centre for Agriculture and the Bioeconomy Current > QUT Faculties and Divisions > Faculty of Science Current > Schools > School of Mathematical Sciences Current > QUT Faculties and Divisions > Faculty of Engineering Current > Schools > School of Civil & Environmental Engineering |
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Copyright Owner: | 2021 Elsevier Ltd. | ||||
Copyright Statement: | This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au | ||||
Deposited On: | 06 Dec 2021 23:05 | ||||
Last Modified: | 21 Jul 2024 12:23 |
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