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Yiyu Wang
Yiyu Wang
PhD student; Geography; University of Leeds
在 leeds.ac.uk 的电子邮件经过验证 - 首页
标题
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An agent-based simulation model of pedestrian evacuation based on bayesian nash equilibrium
Y Wang, J Ge, A Comber
arXiv preprint arXiv:2211.14260, 2022
52022
An evacuation simulation model of pedestrian flow using Bayesian Nash equilibrium and a Multi-Agent System
Y Wang, J Ge, A Comber
AGILE: GIScience Series 3, 68, 2022
22022
An agent-based simulation model of pedestrian evacuation based on Bayesian Nash Equilibrium (version 1.0. 0)
Y Wang, J Ge, A Comber
CoMSES, 2022
12022
A Bayesian Nash Equilibrium (BNE)-informed ABM for pedestrian evacuation in different constricted spaces (Version 2.0. 0)
Y Wang, J Ge, A Comber
CoMSES Computational Model Library, 2024
2024
An Agent-Based Simulation Model of Pedestrian Evacuation Based on Bayesian Nash Equilibrium
Y Wang, J Ge, A Comber
Journal of Artificial Societies and Social Simulation 26 (3), 6, 2023
2023
A pedestrian ABM in complex evacuation environments based on Bayesian Nash Equilibrium
Y Wang, J Ge, A Comber
AGILE: GIScience Series 4, 50, 2023
2023
A pedestrian evacuation ABM in a complex environment based on Bayesian Nash Equilibrium
Y Wang, J Ge, A Comber
31st Annual Geographical Information Science Research UK Conference (GISRUK …, 2023
2023
Navigation in Complex Space: An Bayesian Nash Equilibrium-Informed Agent-Based Model (Short Paper)
Y Wang, J Ge, A Comber
12th International Conference on Geographic Information Science (GIScience 2023), 2023
2023
A Preliminary Study of Individual Based Crowd Simulation Based on Bayesian Nash Equilibrium
Y Wang, J Ge, A Comber
Conference of the European Social Simulation Association, 329-336, 2022
2022
A simulation model of pedestrian flow based on Bayesian Nash Equilibrium and a Multi-Agent System
Y Wang, J Ge, A Comber
30th Annual Geographical Information Science Research UK (GISRUK …, 2022
2022
Simulation model of pedestrian flow based on multi-agent system and Bayesian Nash equilibrium
Y Wang, J Ge, A Comber
AGILE: GIScience Series 2, 42, 2021
2021
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