Please use this identifier to cite or link to this item: https://doi.org/10.1080/0305215X.2013.812728
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dc.titleA bi-objective optimization approach for exclusive bus lane selection and scheduling design
dc.contributor.authorKhoo, H.L.
dc.contributor.authorTeoh, L.E.
dc.contributor.authorMeng, Q.
dc.date.accessioned2014-10-09T07:35:40Z
dc.date.available2014-10-09T07:35:40Z
dc.date.issued2014-07-03
dc.identifier.citationKhoo, H.L., Teoh, L.E., Meng, Q. (2014-07-03). A bi-objective optimization approach for exclusive bus lane selection and scheduling design. Engineering Optimization 46 (7) : 987-1007. ScholarBank@NUS Repository. https://doi.org/10.1080/0305215X.2013.812728
dc.identifier.issn10290273
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/90890
dc.description.abstractThis study proposes a methodology to solve the integrated problems of selection and scheduling of the exclusive bus lane. The selection problem intends to determine which roads (links) should have a lane reserved for buses while the scheduling problem intends to find the time period of the application. It is formulated as a bi-objective optimization model that aims to minimize the total travel time of non-bus traffic and buses simultaneously. The proposed model formulation is solved by the hybrid non-dominated sorting genetic algorithm with Paramics. The results show that the proposed methodology is workable. Sets of Pareto solutions are obtained indicating that a trade-off between buses and non-bus traffic for the improvement of the bus transit system is necessary when the exclusive bus lane is applied. This allows the engineer to choose the best solutions that could balance the performance of both modes in a multimode transport system environment to achieve a sustainable transport system. © 2013 Taylor & Francis.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1080/0305215X.2013.812728
dc.sourceScopus
dc.subjectbi-objective optimization
dc.subjectexclusive bus lane
dc.subjectnon-dominated sorting genetic algorithm
dc.subjectPareto solution
dc.typeArticle
dc.contributor.departmentCIVIL & ENVIRONMENTAL ENGINEERING
dc.description.doi10.1080/0305215X.2013.812728
dc.description.sourcetitleEngineering Optimization
dc.description.volume46
dc.description.issue7
dc.description.page987-1007
dc.description.codenEGOPA
dc.identifier.isiut000335197800007
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