CPS-EAGER- Experiments with Smart City Hubs: Integration Platform for Human Cyber-Physical Systems In Smart Cities

这项研究的目的是了解人与网络物理系统(CPS)在大范围内整合的复杂性。为此，该团队将开发和演示智能城市枢纽的应用，重点是城市环境中的智能交通服务。最终，该项目将产生创新的工具和技术来配置和部署大规模实验，从而能够研究人类如何影响智能城市等大型CP中的控制回路。这项工作涵盖了几个特定于人-CP的设计问题，如人机界面、决策支持系统和激励工程，以保持人类与系统的互动。技术基础将包括一个新的集成平台，用于允许(1)集成空间和时间分布的传感器流；(2)集成基于模拟的决策支持系统；(3)开发和执行实验，以了解先进的决策支持工具和激励机制如何结合提高交通基础设施的利用率和用户体验。这项研究的一个关键方面将是开发数据驱动的骑手模型，城市工程师随后可以使用这些模型来进行规划。拟议的系统将使新一代人-CPS系统成为可能，在该系统中，传感、无线通信和数据驱动的预测分析与人类决策和人为驱动(驾驶和物理基础设施利用)相结合，形成控制环路。智能城市枢纽为交通和公共交通以外的许多其他服务提供通用平台，包括地图和指路、市政通信、应急管理等。将开发的工具将使研究人员和实践者能够更快地制作、部署和试验这些CP。为了确保这些好处，研究团队将以开源项目的形式免费提供其研究基础设施。它还将开发教育材料，重点是建模、原型制作和大规模评估这些应用程序。此外，该团队将进行的研究将为大规模人类与CP的互动提供新的数据和新的科学理解，预计这将在此类应用的设计和分析中产生长期好处。

The objective of this research is to understand the complexities associated with integration between humans and cyber-physical systems (CPS) at large scales. For this purpose, the team will develop and demonstrate the application of Smart City Hubs focusing on intelligent transportation services in urban settings. Ultimately, this project will produce innovative tools and techniques to configure and deploy large-scale scale experiments enabling the study of how humans affect the control loops in large CPS such as smart cities. This work covers several design concerns that are specific to human-CPS such as human computer interfaces, decision support systems and incentives engineering to keep humans engaged with the system.The technology base will include a novel integration platform for allowing (1) integration of spatially and temporally distributed sensor streams; (2) integration of simulation-based decision support systems, (3) development and execution of experiments to understand how advanced decision support tools combined with incentive mechanisms improve the utilization of the transportation infrastructure and user experience. A key aspect of this research will be development of data-driven rider models that can be subsequently used by city engineers for planning purposes. The proposed system will enable a new generation of human-CPS systems where sensing, wireless communication, and data-driven predictive analytics is combined with human decision-making and human-driven actuation (driving and physical infrastructure utilization) to form a control loop.The Smart City Hub provides a generic platform for a number of other services beyond traffic and public transportation, including maps and way finding, municipal communication, emergency management and others. The tools that will be developed will allow researchers and practitioners to more quickly prototype, deploy and experiment with these CPS. To ensure these benefits, the research team will make its research infrastructure freely available as an open-source project. It will also develop educational materials focused on modeling, prototyping and evaluating these applications at scale. In addition, the studies the team will perform will provide new data and new scientific understanding of large-scale human interaction with CPS, which it expects will yield long-term benefits in the design and analysis of such applications.