Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/155190
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Su, Boyi | en_US |
dc.contributor.author | Andelfinger, Philipp | en_US |
dc.contributor.author | Kwak, Jaeyoung | en_US |
dc.contributor.author | Eckhoff, David | en_US |
dc.contributor.author | Cornet, Henriette | en_US |
dc.contributor.author | Marinkovic, Goran | en_US |
dc.contributor.author | Cai, Wentong | en_US |
dc.contributor.author | Knoll, Alois | en_US |
dc.date.accessioned | 2022-02-16T06:09:59Z | - |
dc.date.available | 2022-02-16T06:09:59Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | Su, 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.2020.101173 | en_US |
dc.identifier.issn | 1877-7503 | en_US |
dc.identifier.uri | https://hdl.handle.net/10356/155190 | - |
dc.description.abstract | Crowd 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.iso | en | en_US |
dc.relation.ispartof | Journal of Computational Science | en_US |
dc.rights | © 2020 Published by Elsevier B.V. All rights reserved. | en_US |
dc.subject | Engineering::Computer science and engineering | en_US |
dc.title | A passenger model for simulating boarding and alighting in spatially confined transportation scenarios | en_US |
dc.type | Journal Article | en |
dc.contributor.school | School of Computer Science and Engineering | en_US |
dc.identifier.doi | 10.1016/j.jocs.2020.101173 | - |
dc.identifier.scopus | 2-s2.0-85089956855 | - |
dc.identifier.volume | 45 | en_US |
dc.identifier.spage | 101173 | en_US |
dc.subject.keywords | Agent-based Simulation | en_US |
dc.subject.keywords | Social Force Mode | en_US |
dc.description.acknowledgement | This work was financially supported by the Singapore National Research Foundation under its Campus for Research Excellence And Technological Enterprise (CREATE) program. | en_US |
item.fulltext | No Fulltext | - |
item.grantfulltext | none | - |
Appears in Collections: | SCSE Journal Articles |
SCOPUSTM
Citations
50
8
Updated on Mar 21, 2024
Web of ScienceTM
Citations
50
3
Updated on Oct 27, 2023
Page view(s)
106
Updated on Mar 28, 2024
Google ScholarTM
Check
Altmetric
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.