Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/155190
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dc.contributor.authorSu, Boyien_US
dc.contributor.authorAndelfinger, Philippen_US
dc.contributor.authorKwak, Jaeyoungen_US
dc.contributor.authorEckhoff, Daviden_US
dc.contributor.authorCornet, Henrietteen_US
dc.contributor.authorMarinkovic, Goranen_US
dc.contributor.authorCai, Wentongen_US
dc.contributor.authorKnoll, Aloisen_US
dc.date.accessioned2022-02-16T06:09:59Z-
dc.date.available2022-02-16T06:09:59Z-
dc.date.issued2020-
dc.identifier.citationSu, B., Andelfinger, P., Kwak, J., Eckhoff, D., Cornet, H., Marinkovic, G., Cai, W. & Knoll, A. (2020). A passenger model for simulating boarding and alighting in spatially confined transportation scenarios. Journal of Computational Science, 45, 101173-. https://dx.doi.org/10.1016/j.jocs.2020.101173en_US
dc.identifier.issn1877-7503en_US
dc.identifier.urihttps://hdl.handle.net/10356/155190-
dc.description.abstractCrowd simulation has been widely used as a tool to demonstrate the behavior of passengers on public transport. A simulation model allows researchers to evaluate the platform or interior designs without involving real-world experimentation. In this paper, we propose a passenger model to measure the effect of different public transport vehicle layouts on the required time for boarding and alighting. We first model a low level collision avoidance behavior based on an extended social force model aiming at simulating human interactions in confined spaces. The model introduces a mechanism to emulate rotation behavior while avoiding complex geometric computations and is calibrated to experimental data. The model also allows agents to perform collision prediction in low density environments. Strategical behavior of passengers is modeled according to the recognition-primed decision paradigm and combined with the collision avoidance model. We validate our model against real-world experiments from the literature, demonstrating deviations of less than 6%. In a case study, we evaluate the boarding and alighting times required by three autonomous vehicle interior layouts proposed by industrial designers in both low-density and high-density scenarios.en_US
dc.language.isoenen_US
dc.relation.ispartofJournal of Computational Scienceen_US
dc.rights© 2020 Published by Elsevier B.V. All rights reserved.en_US
dc.subjectEngineering::Computer science and engineeringen_US
dc.titleA passenger model for simulating boarding and alighting in spatially confined transportation scenariosen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Computer Science and Engineeringen_US
dc.identifier.doi10.1016/j.jocs.2020.101173-
dc.identifier.scopus2-s2.0-85089956855-
dc.identifier.volume45en_US
dc.identifier.spage101173en_US
dc.subject.keywordsAgent-based Simulationen_US
dc.subject.keywordsSocial Force Modeen_US
dc.description.acknowledgementThis work was financially supported by the Singapore National Research Foundation under its Campus for Research Excellence And Technological Enterprise (CREATE) program.en_US
item.fulltextNo Fulltext-
item.grantfulltextnone-
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