Currently, cities are facing great challenges such as the population growing, citizen wellbeing, externalities management or environmental deterioration. The search for solutions are making significant inroads into the incorporation of ICT in them and subsequent large-scale digitalization such as programmable economy (PE) applications, offering the possibility to develop new approaches over these issues, in particular which related to sustainability management. Operating under a fuzzy numbers methodology and FIS (Fuzzy Inference System), the present exploratory work shows a new approach to city urban congestion management by deploying PE applications, which include some disruptive inputs such as the Internet of value, blockchain/DLT (distributed ledger technology), smarts contracts, digital assets and the monetization, all of this combined with the human motivation.

中文翻译：

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数字和可编程经济应用：通过模糊集的智能城市拥堵案例

当前，城市面临着巨大的挑战，例如人口增长，公民福祉，外部性管理或环境恶化。对解决方案的寻求正在极大地推动将ICT纳入其中以及随后的大规模数字化（例如可编程经济（PE）应用程序）的发展，从而为解决这些问题（尤其是与可持续性管理相关的问题）开发新方法提供了可能性。本研究工作以模糊数字方法和FIS（模糊推理系统）运行，通过部署PE应用程序展示了一种城市城市拥挤管理的新方法，其中包括一些破坏性输入，例如价值互联网，区块链/ DLT（分布式分类帐）技术），智能合约，数字资产和货币化，