CCRI: New: RUI: Testbed as-a Service: A Sandbox for Fostering Smart and Connected City Research & Development

CCRI:新:RUI:测试床即服务:促进智能和互联城市研究的沙箱

基本信息

  • 批准号:
    2120358
  • 负责人:
  • 金额:
    $ 137.49万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2021
  • 资助国家:
    美国
  • 起止时间:
    2021-10-01 至 2024-09-30
  • 项目状态:
    已结题

项目摘要

Smart Corridor+, which is built on Chattanooga’s city-wide 10 Gbps fiber optic Internet, contains an urban road segment as well as a freeway segment. The urban portion includes the existing MLK Smart Corridor, which is a 1.25-mile stretch of Chattanooga’s walkable urban core developed by University of Tennessee at Chattanooga (UTC) and the Chattanooga Smart Community Collaborative. The freeway portion is 2.5-miles of HWY27 with on and off ramps on the east corner of the MLK Smart Corridor. The goal is to build a Testbed-as-a-Service (TaaS) research infrastructure on Smart Corridor+. This will allow research projects by enabling access to comprehensive data representing an urban environment and facilitating deployment, testing, and validating algorithms in a large-scale and real-world setting. This programmable and accessible heterogeneous infrastructure spans multiple road types and technologies and collectively provides essential IoT, diverse communication technologies, and edge computing, Level-2 and Level-4 connected/autonomous vehicles, and software services. A web portal will allow scientists to access data and carry out specific experiments using the proposed TaaS. Research projects will focus on innovative IoT applications for improved urban mobility, public safety, smart infrastructure, and human/device behavioral analysis that cannot be otherwise performed. This project will host community events, conferences, hackathons, and workshops to recruit a diverse pool of users. An Advisory Board and a User Community Steering Committee (UCSC) will ensure that the infrastructure will benefit researchers and stakeholders, including residents. The proposed infrastructure and focused research projects will be leveraged to support multiple STEM education and research opportunities for all levels of students (graduate, undergraduate and high school) and researchers that will help develop a highly competitive and diverse STEM workforce for smart cities, public safety, IoT, transportation, and communication industries. The educational activities include improved graduate education, graduate, undergraduate, and K-12 research experiences, and broaden participation.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
智能走廊+建立在查塔努加全市 10 Gbps 光纤互联网之上,包含城市道路段和高速公路段。城市部分包括现有的 MLK 智能走廊,该走廊是查塔努加步行城市核心的一段 1.25 英里的延伸段,由田纳西大学查塔努加分校 (UTC) 和查塔努加智能社区合作组织开发。高速公路部分是 HWY27 的 2.5 英里,在 MLK 智能走廊的东角设有进出坡道。目标是在智能走廊+上构建测试床即服务 (TaaS) 研究基础设施。 这将使研究项目能够访问代表城市环境的综合数据,并促进在大规模和现实环境中部署、测试和验证算法。这种可编程且可访问的异构基础设施跨越多种道路类型和技术,共同提供必要的物联网、多种通信技术、边缘计算、2 级和 4 级互联/自动驾驶车辆以及软件服务。门户网站将允许科学家访问数据并使用拟议的 TaaS 进行特定实验。研究项目将重点关注创新的物联网应用,以改善城市交通、公共安全、智能基础设施以及其他方式无法执行的人类/设备行为分析。该项目将举办社区活动、会议、黑客马拉松和研讨会,以招募多元化的用户。咨询委员会和用户社区指导委员会 (UCSC) 将确保基础设施使研究人员和利益相关者(包括居民)受益。拟议的基础设施和重点研究项目将用于支持各级学生(研究生、本科生和高中)和研究人员的多种 STEM 教育和研究机会,这将有助于为智慧城市、公共安全、物联网、交通和通信行业培养具有高度竞争力和多样化的 STEM 劳动力。教育活动包括改善研究生教育、研究生、本科生和 K-12 研究经验以及扩大参与范围。该奖项反映了 NSF 的法定使命,并通过使用基金会的智力价值和更广泛的影响审查标准进行评估,被认为值得支持。

项目成果

期刊论文数量(0)
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专利数量(0)

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Mina Sartipi其他文献

The Heavy Lifting Treatment Helper (HeaLTH) Algorithm: Streamlining the Clinical Trial Selection Process
举重治疗助手 (HeaLTH) 算法:简化临床试验选择流程
  • DOI:
    10.1007/978-3-030-63393-6_37
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Misagh B. Mansouri;Jeremiah Roland;Sree Nukala;Jin Cho;Mina Sartipi
  • 通讯作者:
    Mina Sartipi
Single Camera-enabled Reinforcement Learning Traffic Signal Control System supporting Life-long Assessment
支持终身评估的单摄像头强化学习交通信号控制系统
Quality Assessment of Large-Scale Vehicle and Pedestrian Trajectories at Intersections
交叉口大型车辆和行人轨迹的质量评估
  • DOI:
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    1.7
  • 作者:
    Junxuan Zhao;Austin Harris;Mina Sartipi
  • 通讯作者:
    Mina Sartipi
Post-stroke discharge disposition prediction using deep learning
使用深度学习预测中风后出院处置
  • DOI:
    10.1109/secon.2017.7925299
  • 发表时间:
    2017
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Jin Cho;Zhen Hu;Mina Sartipi
  • 通讯作者:
    Mina Sartipi
LaMMOn: language model combined graph neural network for multi-target multi-camera tracking in online scenarios
  • DOI:
    10.1007/s10994-024-06592-1
  • 发表时间:
    2024-07-15
  • 期刊:
  • 影响因子:
    2.900
  • 作者:
    Tuan T. Nguyen;Hoang H. Nguyen;Mina Sartipi;Marco Fisichella
  • 通讯作者:
    Marco Fisichella

Mina Sartipi的其他文献

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{{ truncateString('Mina Sartipi', 18)}}的其他基金

US Ignite: Collaborative Research: Focus Area 1: Fleet Management of Large-Scale Connected and Autonomous Vehicles in Urban Settings
US Ignite:合作研究:重点领域 1:城市环境中大型联网自动驾驶车辆的车队管理
  • 批准号:
    1647161
  • 财政年份:
    2017
  • 资助金额:
    $ 137.49万
  • 项目类别:
    Standard Grant
Collaborative Research: Robust Asset-and-User-Aware Dispatch of the Power Distribution Grid during Extreme Temperatures
合作研究:极端温度下配电网的鲁棒资产和用户感知调度
  • 批准号:
    1610703
  • 财政年份:
    2016
  • 资助金额:
    $ 137.49万
  • 项目类别:
    Standard Grant
CPS: Small: RUI: CPS Foundations in Computation and Communication
CPS:小型:RUI:计算和通信中的 CPS 基础
  • 批准号:
    0932113
  • 财政年份:
    2009
  • 资助金额:
    $ 137.49万
  • 项目类别:
    Standard Grant

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