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

CPS-EAGER- 智能城市中心实验：智能城市中人类网络物理系统的集成平台

• 批准号: 1528799
• 负责人: Abhishek Dubey
• 金额: $ 19.76万
• 依托单位: Vanderbilt University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-06-15 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1528799&HistoricalAwards=false
• 关键词: CPS; EAGER; Experiments; Smart; City

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.

这项研究的目的是了解与人类和网络物理系统（CPS）之间的大规模集成相关的复杂性。为此，该团队将开发和展示智慧城市中心的应用，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，以配置和部署大规模实验，从而研究人类如何影响智能城市等大型CPS的控制回路。这项工作涵盖了几个设计关注点，是特定的人CPS，如人机界面，决策支持系统和激励工程，以保持人类参与的系统。技术基础将包括一个新的集成平台，允许（1）集成的空间和时间分布的传感器流;（2）集成基于仿真的决策支持系统，（三）开发和执行实验，以了解先进的决策支持工具与激励机制相结合如何提高运输的利用率基础设施和用户体验。这项研究的一个关键方面将是开发数据驱动的骑手模型，随后可供城市工程师用于规划目的。拟议的系统将实现新一代人类CPS系统，其中传感，无线通信和数据驱动的预测分析与人类决策和人类驱动的驱动相结合（驾驶和物理基础设施利用）形成控制回路。智慧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，包括地图和寻路，市政通信，应急管理及其他。将开发的工具将使研究人员和从业人员能够更快地对这些CPS进行原型设计、部署和试验。为了确保这些好处，研究团队将使其研究基础设施作为开源项目免费提供。它还将开发教育材料，重点是建模，原型设计和大规模评估这些应用程序。此外，该团队将进行的研究将提供新的数据和对大规模人类与CPS互动的新的科学理解，预计这将在此类应用的设计和分析中产生长期效益。

项目成果

Socially Optimal Multi-Modal Routing Platform

社会最优多模式路由平台

• 发表时间: 2017
• 期刊: June 2017
• 作者: Chinmaya Samal, Fangzhou Sun

Towards demand-oriented flexible rerouting of public transit under uncertainty

• DOI: 10.1145/3313237.3313302
• 发表时间: 2019-04
• 期刊: Proceedings of the Fourth Workshop on International Science of Smart City Operations and Platforms Engineering
• 作者: Saideep Nannapaneni;A. Dubey

DelayRadar: A multivariate predictive model for transit systems

DelayRadar：交通系统的多元预测模型

• DOI: 10.1109/bigdata.2016.7840797
• 发表时间: 2016
• 期刊: 2016 IEEE International Conference on
• 作者: Oruganti, Aparna;Sun, Fangzhou;Baroud, Hiba;Dubey, Abhishek
• 通讯作者: Dubey, Abhishek

Short-Term Transit Decision Support System Using Multi-task Deep Neural Networks

使用多任务深度神经网络的短期交通决策支持系统

• DOI: 10.1109/smartcomp.2018.00086
• 发表时间: 2018
• 期刊: IEEE Smartcomp
• 作者: Sun, Fangzhou;Dubey, Abhishek;Samal, Chinmaya;Baroud, Hiba;Kulkarni, Chetan
• 通讯作者: Kulkarni, Chetan

Modeling and Predicting the Cascading Effects of Delay in Transit Systems

建模和预测交通系统延误的级联效应

• 发表时间: 2019
• 期刊: Transportation Research Board 98th Annual Meeting
• 作者: Oruganti, Aparna;Basak, Sanchita;Sun, Fangzhou;Baroud, Hiba;Dubey, Abhishek
• 通讯作者: Dubey, Abhishek