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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Bibliographic Details
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
Subjects:
Online Access:https://hdl.handle.net/10356/143200
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Institution: Nanyang Technological University
Language: English