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Collaborative Research: CSR-EHCS(CPS), TM: AutoMatrix: Large-scale Test-bed and Real-Time Protocols for Vehicle-to-Vehicle Wireless Networks

Collaborative Research: CSR-EHCS(CPS), TM: AutoMatrix: Large-scale Test-bed and Real-Time Protocols for Vehicle-to-Vehicle Wireless Networks
合作研究:CSR-EHCS(CPS),TM:AutoMatrix:车对车无线网络的大规模测试平台和实时协议
批准号:
0834517
负责人:
Rahul Mangharam
金额:
$27.0万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-09-01 至 2012-08-31

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中文摘要
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英文摘要
Over 6.4 million automotive accidents occur in the US annually. Odds of someone being in an accident this year are 1 chance in 16. Any information that warns of problems along the road(s) ahead can therefore potentially save lives and reduce the frequency and/or intensity of accidents. The vehicle of tomorrow is the programmable-networked vehicle. In our view, the networked vehicle of the future is one of the most complex Cyber Physical Systems (CPS) with active trajectory control, active navigation and on-line maintenance. V2V wireless networks are a special class of networked-CPS where the maximum relative speeds are in excess of 80m/s, the node density can span over 9,000 vehicles/mi^2 and, most importantly, the dynamics of the vehicle, the environment, driver reaction and interaction with other vehicles need to be considered in every communication and control decision. To meet these timeliness and coordinated communication requirements, we are developing a new set of networking capabilities that can lay the foundation for dynamic vehicular networks designed to make driving safer, more efficient and more enjoyable. This project is aimed at the design, analysis, implementation and evaluation of vehicular networks that will enable a wide range of applications including V2V and V2I communication for: (a) Bounded-latency broadcast protocols for active networked safety alerts (b) Protocols and algorithms for Real-Time collision avoidance (c) Native protocols for secure V2V and V2I communication. Real-time research in V2V networks will be the first step toward developing a Spatio-Temporal Real-Time theory and network protocols with wide-area time synchronization.
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CCRI: MEDIUM: Collaborative Research: Community Platforms for Safe, Agile, and Coordinated Autonomy
  • 批准号:
    1925587
  • 项目类别:
    Standard Grant
  • 资助金额:
    $58.05万
  • 财政年份:
    2019
  • 负责人:
    Rahul Mangharam
  • 依托单位:
SBIR Phase I: A Data-driven Demand Response Recommendation System
  • 批准号:
    1648320
  • 项目类别:
    Standard Grant
  • 资助金额:
    $22.49万
  • 财政年份:
    2016
  • 负责人:
    Rahul Mangharam
  • 依托单位:
CPS: Frontier: Collaborative Research: Compositional, Approximate, and Quantitative Reasoning for Medical Cyber-Physical Systems
  • 批准号:
    1446664
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $94.0万
  • 财政年份:
    2015
  • 负责人:
    Rahul Mangharam
  • 依托单位:
CAREER: Medical Cyber-Physical Systems
  • 批准号:
    1253842
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $41.0万
  • 财政年份:
    2013
  • 负责人:
    Rahul Mangharam
  • 依托单位:
国内基金
海外基金
Research on Quantum Field Theory without a Lagrangian Description
  • 批准号:
    24ZR1403900
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    SATOSHI NAWATA
  • 依托单位:
Cell Research
Cell Research
Cell Research (细胞研究)