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2.4 Conclusion
We highlight smart cities' research branches and technology advancement regarding different complex domains. We propose a solution, namely, universal smart cities' decision making, which has three main sections: data capturing, data analysis, and decision making. We provide an abstract review of the fundamental concepts of big data, ML, and DL algorithms being applied to smart cities. We explore the essential role of the aforementioned algorithms on making decision within smart cities. The goal of this study is to provide a comprehensive survey of data analytics in smart cities, more specifically the role of big data algorithms and other advanced technologies like ML and DL for making decision in smart mobility within smart cities.
References
1 1 Amini, M.H., Mohammadi, J., and Kar, S. (2020). Promises of fully distributed optimization for IoT‐based smart city infrastructures. In: Optimization, Learning, and Control for Interdependent Complex Networks, ( M Hadi Amini), 15–35. Springer.