通过利用连接社区和万物互联新兴技术量化UTS的弹性增强
Quantify resilience enhancement of UTS through exploiting connect community and internet of everything emerging technologies
摘要：
这项工作的目的是调查和量化城市交通系统（UTS）的弹性增强，通过采用新兴技术，如万物互联（IoE）和互联社区（CC）的新趋势。提出了功能共振分析方法（FRAM）的概念扩展及其形式化描述，并将其用于UTS复杂性建模。其范围是确定系统功能及其相互依存关系，特别关注那些与人和社区有关系和影响的功能。网络分析技术已被应用于FRAM模型，以确定和估计最关键的社区相关功能。可变率（VR）的概念被定义为上游功能产生的输出可变性的量，该量可以被下游功能容忍/吸收，而不会显著增加其随后的输出可变性。当定量数据不可用时，基于专家判断的VR的模糊量化已经被开发出来。我们的方法已被应用到一个关键的场景（水弹/山洪暴发）考虑两种情况：当UTS有CC和万物互联实施或没有。结果显示，如果部署CC和IoE，VR将得到显著增强
英文摘要：
This work aims at investigating and quantifying the Urban Transport System (UTS) resilience enhancement enabled by the adoption of emerging technology such as Internet of Everything (IoE) and the new trend of the Connected Community (CC). A conceptual extension of Functional Resonance Analysis Method (FRAM) and its formalization have been proposed and used to model UTS complexity. The scope is to identify the system functions and their interdependencies with a particular focus on those that have a relation and impact on people and communities. Network analysis techniques have been applied to the FRAM model to identify and estimate the most critical community-related functions. The notion of Variability Rate (VR) has been defined as the amount of output variability generated by an upstream function that can be tolerated/absorbed by a downstream function, without significantly increasing of its subsequent output variability. A fuzzy based quantification of the VR on expert judgment has been developed when quantitative data are not available. Our approach has been applied to a critical scenario (water bomb/flash flooding) considering two cases: when UTS has CC and IoE implemented or not. The results show a remarkable VR enhancement if CC and IoE are deployed
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