Abstract
This paper presents a large-scale multiagent simulator that can simulate any complex urban environment and demonstrates its implementation on a distributed computing environment. We focus on society simulation, in particular traffic and crowd simulations, within any geographic area on earth. We adopt an multi-agent based approach for the different behaviors of the vehicles, drivers, and pedestrians. The proposed driving behavioral models can realistically emulate driving behaviors of humans. The resulting simulator succeeds to simulate at least more than 50,000 vehicles on the one server with a visualization.
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Ito, T., Otsuka, T., Imaeda, T., Hadfi, R. (2018). An Implementation of Large-Scale Holonic Multi-agent Society Simulator and Agent Behavior Model. In: Geng, X., Kang, BH. (eds) PRICAI 2018: Trends in Artificial Intelligence. PRICAI 2018. Lecture Notes in Computer Science(), vol 11012. Springer, Cham. https://doi.org/10.1007/978-3-319-97304-3_79
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DOI: https://doi.org/10.1007/978-3-319-97304-3_79
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