Smart City Gnosys

Smart city article details

Title	Innovating Smart Buildings And Cities Through Agent-Based Modeling, Discrete Event Simulation And Sensor-Based Data Analytics
ID_Doc	31597
Authors	Lopinski J.; Sachweh S.; Muller C.
Year	2023
Published	Proceedings of the IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS
DOI	http://dx.doi.org/10.1109/IDAACS58523.2023.10348759
Abstract	The paper emphasizes the significance of sensor-based data analytics (SBDA) for modeling and simulation in a smart city, using the methods discrete event simulation (DES) and agent-based modeling (ABM). Moreover, the project reviewing paper presents several selected project examples, such as CitySim, AIRE, Smart Grid, and the Gotland project that demonstrate the potential of SBDA in smart buildings and urban systems and analyse possible advantages of the application of the SBDA method. Furthermore, the result table demonstrates the possibilities of using SBDA in ABM and DES in other sectors, thus obtaining accurate results in a modeling system in the future. These findings have significant implications for policymakers, urban planners, and stakeholders in smart city development who seek to enhance the quality of life for urban citizens. The paper contributes to a better understanding of advantages of using sensor-based data analysis in ABM and DES and the method's potential benefit for other sectors. It provides a basis for analysis on some methodologies in the field of smart cities and buildings. It is intended to serve as an overview for future researchers and to contribute to the understanding of general concepts of research institutions. © 2023 IEEE.
Author Keywords	efficiency; modelling; simulation; smart city systems

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