Abstract
The aim of the study is to improve intelligent methods for supporting city management tasks by monitoring the state of processes in the urban environment and deliberately changing their parameters in accordance with decisions obtained using predictive modeling. The chapter provides an analysis of the current state of the cyber-physical problem of modeling processes in systems with people interaction, existing methods for modeling the people movement in an urban environment, and projects for modeling the people movement in a city based on a multi-agent approach. The process of developing scenarios for moving agents in an urban environment is shown. The main components of the software solution responsible for simulating human behavior are presented.
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Acknowledgements
The reported study was funded by Russian Foundation for Basic Research (RFBR) according to the research project No. 18-37-20066_mol_a_ved. The results of part 3 were obtained within the Russian Science Foundation (RSF) grant (project No. 20-71-10087). The authors express gratitude to colleagues from UCLab involved in the development of Live.UrbanBasis.com project.
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Anokhin, A., Burov, S., Parygin, D., Rent, V., Sadovnikova, N., Finogeev, A. (2021). Development of Scenarios for Modeling the Behavior of People in an Urban Environment. In: Kravets, A.G., Bolshakov, A.A., Shcherbakov, M. (eds) Society 5.0: Cyberspace for Advanced Human-Centered Society. Studies in Systems, Decision and Control, vol 333. Springer, Cham. https://doi.org/10.1007/978-3-030-63563-3_9
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