Читать книгу Cyberphysical Smart Cities Infrastructures. Optimal Operation and Intelligent Decision Making онлайн

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Making decisions in smart cities is challenging due to the high direct/indirect dimensional factors and parameters. In this chapter, we aim to focus on one of the smart cities' important branches, namely, smart mobility and its positive ample impact on smart cities' decision‐making processes. Intelligent decision‐making systems in smart mobility offer many advantages, such as saving energy [4], relaying city traffic [5], and more importantly reducing air pollution [6] by offering real‐time useful information and imperative generated knowledge. Making an optimal decision in time in smart mobility with a wide variety of smart devices and systems is challenging. You cannot make a promising decision when your data is not frequently collected. Consequently, a training process of decision support systems still is challenging due to the lack of data [7]. In this chapter, first, we address current challenges in smart cities and provide an overview of potential solutions to these challenges. Then, we offer a framework of these solutions, called universal smart cities' decision making, having three main sections such as data capturing, data analysis, and decision making to optimize the smart mobility within smart cities.