Incremental calibration of seat selection preferences in agent-based simulations of public transport scenarios

The calibration of agent-based pedestrian simulation models requires empirical data. To avoid cost-intensive real-world experiments, human-in-the-loop simulations can be applied in which simulated pedestrians interact with human-controlled agents. However, the experiment results may be unrealistic i...

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Main Authors: Andelfinger, Philipp, Chen, Yihao, Su, Boyi, Cai, Wentong, Zehe, Daniel, Eckhoff, David, Knoll, Alois
Other Authors: School of Computer Science and Engineering
Format: Conference or Workshop Item
Language:English
Published: 2020
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Online Access:https://hdl.handle.net/10356/143200
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1432002020-08-12T04:59:20Z Incremental calibration of seat selection preferences in agent-based simulations of public transport scenarios Andelfinger, Philipp Chen, Yihao Su, Boyi Cai, Wentong Zehe, Daniel Eckhoff, David Knoll, Alois School of Computer Science and Engineering 2018 Winter Simulation Conference (WSC) Engineering::Computer science and engineering Solid Modeling Calibration The calibration of agent-based pedestrian simulation models requires empirical data. To avoid cost-intensive real-world experiments, human-in-the-loop simulations can be applied in which simulated pedestrians interact with human-controlled agents. However, the experiment results may be unrealistic if the human participants are presented with agents acting according to an uncalibrated model. We propose an incremental calibration approach that aims to address the circular dependency between the behaviour of human and simulated pedestrians. By incrementally adapting the parameters of the simulated agents to match the behaviour of the human participants, we aim to gradually approach a realistic interaction. We evaluate our approach using the simulation of the boarding procedure of a public transport vehicle in 2D and virtual reality experiments. The calibration results are compared with those gathered from a traditional non-incremental calibration. Our results indicate the feasibility of our approach and highlight the necessity for future research on efficient simulation model calibration. National Research Foundation (NRF) Accepted version This work was financially supported by the Singapore National Research Foundation under its Campus for Research Excellence And Technological Enterprise (CREATE) programme. The authors would like to extend their gratitude to their colleagues Dr Henriette Cornet and Goran Marinkovic in the Design for Autonomous Mobility group at TUMCREATE for the permission to use their vehicle layout. 2020-08-12T04:59:20Z 2020-08-12T04:59:20Z 2019 Conference Paper Andelfinger, P., Chen, Y., Su, B., Cai, W., Zehe, D., Eckhoff, D., & Knoll, A. (2018). Incremental calibration of seat selection preferences in agent-based simulations of public transport scenarios. Proceedings of the 2018 Winter Simulation Conference, 833-844. doi:10.1109/WSC.2018.8632292 9781538665725 https://hdl.handle.net/10356/143200 10.1109/WSC.2018.8632292 2-s2.0-85062642492 833 844 en © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/WSC.2018.8632292. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Engineering::Computer science and engineering
Solid Modeling
Calibration
spellingShingle Engineering::Computer science and engineering
Solid Modeling
Calibration
Andelfinger, Philipp
Chen, Yihao
Su, Boyi
Cai, Wentong
Zehe, Daniel
Eckhoff, David
Knoll, Alois
Incremental calibration of seat selection preferences in agent-based simulations of public transport scenarios
description The calibration of agent-based pedestrian simulation models requires empirical data. To avoid cost-intensive real-world experiments, human-in-the-loop simulations can be applied in which simulated pedestrians interact with human-controlled agents. However, the experiment results may be unrealistic if the human participants are presented with agents acting according to an uncalibrated model. We propose an incremental calibration approach that aims to address the circular dependency between the behaviour of human and simulated pedestrians. By incrementally adapting the parameters of the simulated agents to match the behaviour of the human participants, we aim to gradually approach a realistic interaction. We evaluate our approach using the simulation of the boarding procedure of a public transport vehicle in 2D and virtual reality experiments. The calibration results are compared with those gathered from a traditional non-incremental calibration. Our results indicate the feasibility of our approach and highlight the necessity for future research on efficient simulation model calibration.
author2 School of Computer Science and Engineering
author_facet School of Computer Science and Engineering
Andelfinger, Philipp
Chen, Yihao
Su, Boyi
Cai, Wentong
Zehe, Daniel
Eckhoff, David
Knoll, Alois
format Conference or Workshop Item
author Andelfinger, Philipp
Chen, Yihao
Su, Boyi
Cai, Wentong
Zehe, Daniel
Eckhoff, David
Knoll, Alois
author_sort Andelfinger, Philipp
title Incremental calibration of seat selection preferences in agent-based simulations of public transport scenarios
title_short Incremental calibration of seat selection preferences in agent-based simulations of public transport scenarios
title_full Incremental calibration of seat selection preferences in agent-based simulations of public transport scenarios
title_fullStr Incremental calibration of seat selection preferences in agent-based simulations of public transport scenarios
title_full_unstemmed Incremental calibration of seat selection preferences in agent-based simulations of public transport scenarios
title_sort incremental calibration of seat selection preferences in agent-based simulations of public transport scenarios
publishDate 2020
url https://hdl.handle.net/10356/143200
_version_ 1681059100212854784