Smart city model based on systems theory |
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| Institution: | 1. Faculty of Transportation Sciences, Czech Technical University in Prague, Konviktska 20, Praha 1, 110 00, Czech Republic;2. Faculty of Management, University of Economics, Prague Jarosovska 1117/II, Jindrichuv Hradec, 377 01, Czech Republic;1. University of Nevada, Las Vegas, Las Vegas, NV, 89154, United States;2. Towson University, Towson, MD, 21252, United States;3. Western Carolina University, Cullowhee, NC, 28723, United States;4. University of Virginia, Charlottesville, VA, 22903, United States;1. Management Information Systems Group, Indian Institute of Management Calcutta, Kolkata, India;2. Research School of Management, Australian National University, Canberra, Australia;3. Marketing Group, Indian Institute of Management Calcutta, Kolkata, India;1. Department of Systems and Technology, Harbert College of Business, Auburn University, Auburn, AL, 36849, USA;2. School of Accountancy & MIS, DePaul University, Chicago, IL, 60604, USA;3. Department of Marketing, Eli Broad College of Business, Michigan State University, East Lansing, MI, 48824, USA;1. Department of Strategy and Industry, China Mobile Research Institute, China;2. School of Information Systems, Technology and Management, UNSW Business School, UNSW, Australia;3. Business School, Qingdao University, China;4. School of E-Business and Logistics, Beijing Technology and Business University, China;5. Guanghua School of Management, Peking University, China;1. University of North Carolina at Greensboro, Information Systems & Supply Chain Management Dept. 516 Stirling St., Greensboro, NC, 27412, USA;2. University of New South Wales, School of Information Systems Technology and Management, Sydney, Australia |
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| Abstract: | While there are several partial solutions to model some aspects of cities (e.g. transportation or energy), there is no framework allowing modelling of a complex system such as a city. This paper aims on providing a solution that can be used by practitioners to model impact of different scenarios and smart city projects encapsulating different subsystems, such as transportation, energetics or, for example, eGovernment. The term “smart cities” is classified into Systems Theory, particularly focusing on Cyber-Physical Systems. This classification is further elaborated to define a new term, so-called Smart City Agent (SCA). The SCA is considered as the main building block for modelling smart cities. The approach within this paper however stresses the interconnection of different systems within a city. Its’ strength is in better exchange of data and among heterogeneous agents. This information management approach is the missing key in the growing market of partial smart city solutions as it will allow simulation of solutions in complex systems such as a city. The suitability of usefulness of the proposed approach is demonstrated on a use case dealing with charging of electrical vehicles. The results show that the approach is suitable for modelling of dynamic behaviour. |
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| Keywords: | Modelling Multi-Agent systems SMACEF Smart city Intelligent agent |
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