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Smart grid, smart transportation, and smart city: Where we are? Keynote address

机译:智能电网,智能交通和智能城市:我们在哪里?主题演讲

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Smart systems such as smart grid, smart transportation, and smart city are typical applications supported by Internet-of-Things. Particularly, the smart grid is the integration of renewable energy resources, information and communication technologies into the electricity grid to achieve a reliable, cost efficient, sustainable, and environment-friendly power grid. To deal with uncertainties raised by components such as renewable energy resources in the smart grid systems, our research team at Towson University has developed a modeling and simulation framework to assess techniques, enabling the effectiveness of smart grid operations. With the development of smart sensors, smart vehicles, and vehicular communication technologies, the smart transportation system is considered to be the future of transportation critical infrastructure: improving traffic efficiency and safety. To this end, our research team has been working on the investigation and evaluation techniques that seek to mitigate traffic congestion and improve traffic efficiency. Furthermore, while smart city concept holds great promise of boosting living standards through effective management and utilization of scarce resources, unavailability of real-world datasets and ideal test environments to evaluate algorithms and models has slowed research progress. A group of our research team has been working on the reviews of major research endeavors and projects ongoing in the field. Our research group has been trying to integrate information communication technology with physical infrastructures for a more effective resource management geared towards improving city living standard.
机译:物联网支持的典型应用是智能电网,智能交通和智能城市等智能系统。特别是,智能电网是将可再生能源,信息和通信技术集成到电网中,以实现可靠,成本有效,可持续和环境友好的电网。为了应对智能电网系统中可再生能源等组件带来的不确定性,我们位于陶森大学的研究团队开发了一种建模和仿真框架,以评估技术,从而实现智能电网运营的有效性。随着智能传感器,智能车辆和车辆通信技术的发展,智能交通系统被认为是交通关键基础设施的未来:提高交通效率和安全性。为此,我们的研究团队一直在研究旨在减轻交通拥堵并提高交通效率的调查和评估技术。此外,尽管智慧城市的概念有望通过有效管理和利用稀缺资源来提高生活水平,但由于缺乏现实世界的数据集和理想的测试环境来评估算法和模型,研究的进展速度减慢了。我们的一组研究团队一直在研究该领域正在进行的主要研究工作和项目。我们的研究小组一直在尝试将信息通信技术与物理基础设施相集成,以实现更有效的资源管理,从而改善城市生活水平。

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