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...
| Main Authors: | , , , , , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Language: | English |
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2020
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| Online Access: | https://hdl.handle.net/10356/143200 |
| _version_ | 1826129366058270720 |
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| author | Andelfinger, Philipp Chen, Yihao Su, Boyi Cai, Wentong Zehe, Daniel Eckhoff, David Knoll, Alois |
| 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 |
| author_sort | Andelfinger, Philipp |
| collection | NTU |
| 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. |
| first_indexed | 2024-10-01T07:39:24Z |
| format | Conference Paper |
| id | ntu-10356/143200 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:39:24Z |
| publishDate | 2020 |
| record_format | dspace |
| spelling | ntu-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 |
| 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 |
| title | 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_short | 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 |
| topic | Engineering::Computer science and engineering Solid Modeling Calibration |
| url | https://hdl.handle.net/10356/143200 |
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