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dc.contributor.authorAndelfinger, Philippen_US
dc.contributor.authorChen, Yihaoen_US
dc.contributor.authorSu, Boyien_US
dc.contributor.authorCai, Wentongen_US
dc.contributor.authorZehe, Danielen_US
dc.contributor.authorEckhoff, Daviden_US
dc.contributor.authorKnoll, Aloisen_US
dc.identifier.citationAndelfinger, 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.2018.8632292en_US
dc.description.abstractThe 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.en_US
dc.description.sponsorshipNational Research Foundation (NRF)en_US
dc.rights© 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:
dc.subjectEngineering::Computer science and engineeringen_US
dc.titleIncremental calibration of seat selection preferences in agent-based simulations of public transport scenariosen_US
dc.typeConference Paperen
dc.contributor.schoolSchool of Computer Science and Engineeringen_US
dc.contributor.conference2018 Winter Simulation Conference (WSC)en_US
dc.description.versionAccepted versionen_US
dc.subject.keywordsSolid Modelingen_US
dc.citation.conferencelocationGothenburg, Swedenen_US
dc.description.acknowledgementThis 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.en_US
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