A passenger model for simulating boarding and alighting in spatially confined transportation scenarios

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 e...

Full description

Saved in:
Bibliographic Details
Main Authors: Su, Boyi, Andelfinger, Philipp, Kwak, Jaeyoung, Eckhoff, David, Cornet, Henriette, Marinkovic, Goran, Cai, Wentong, Knoll, Alois
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2022
Subjects:
Online Access:https://hdl.handle.net/10356/155190
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-155190
record_format dspace
spelling sg-ntu-dr.10356-1551902022-02-16T06:09:59Z A passenger model for simulating boarding and alighting in spatially confined transportation scenarios Su, Boyi Andelfinger, Philipp Kwak, Jaeyoung Eckhoff, David Cornet, Henriette Marinkovic, Goran Cai, Wentong Knoll, Alois School of Computer Science and Engineering Engineering::Computer science and engineering Agent-based Simulation Social Force Mode 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. This work was financially supported by the Singapore National Research Foundation under its Campus for Research Excellence And Technological Enterprise (CREATE) program. 2022-02-16T06:09:59Z 2022-02-16T06:09:59Z 2020 Journal Article 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 1877-7503 https://hdl.handle.net/10356/155190 10.1016/j.jocs.2020.101173 2-s2.0-85089956855 45 101173 en Journal of Computational Science © 2020 Published by Elsevier B.V. All rights reserved.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Computer science and engineering
Agent-based Simulation
Social Force Mode
spellingShingle Engineering::Computer science and engineering
Agent-based Simulation
Social Force Mode
Su, Boyi
Andelfinger, Philipp
Kwak, Jaeyoung
Eckhoff, David
Cornet, Henriette
Marinkovic, Goran
Cai, Wentong
Knoll, Alois
A passenger model for simulating boarding and alighting in spatially confined transportation scenarios
description 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.
author2 School of Computer Science and Engineering
author_facet School of Computer Science and Engineering
Su, Boyi
Andelfinger, Philipp
Kwak, Jaeyoung
Eckhoff, David
Cornet, Henriette
Marinkovic, Goran
Cai, Wentong
Knoll, Alois
format Article
author Su, Boyi
Andelfinger, Philipp
Kwak, Jaeyoung
Eckhoff, David
Cornet, Henriette
Marinkovic, Goran
Cai, Wentong
Knoll, Alois
author_sort Su, Boyi
title A passenger model for simulating boarding and alighting in spatially confined transportation scenarios
title_short A passenger model for simulating boarding and alighting in spatially confined transportation scenarios
title_full A passenger model for simulating boarding and alighting in spatially confined transportation scenarios
title_fullStr A passenger model for simulating boarding and alighting in spatially confined transportation scenarios
title_full_unstemmed A passenger model for simulating boarding and alighting in spatially confined transportation scenarios
title_sort passenger model for simulating boarding and alighting in spatially confined transportation scenarios
publishDate 2022
url https://hdl.handle.net/10356/155190
_version_ 1725985694331961344