2223517
Cooperative Agreement
Overview
Grant Description
Mcity 2: An Integrated Automated Testbed for Autonomous Transportation Research - This NSF Civil Infrastructure Systems project will create the world's first fully automated augmented-reality test facility for autonomous transportation research. Connected and automated vehicle (CAV) technologies have the potential to significantly improve safety, mobility, and sustainability, but also pose great challenges in technical and social dimensions including control, sensing, communication, human-in-the-loop, etc.
Although significant research effort has been dedicated to the research and development of CAV technologies, most research ideas have been tested using simulation only with limited open datasets. Access to physical test facilities and large-scale real-world data is limited, severely hindering the progress of scientific research and technology development.
This project will leverage the University of Michigan's existing Mcity test facility - the world's first purpose-built CAV proving ground - by integrating the physical test track with a software simulation environment to create an augmented-reality CAV testbed that would be made available to academic researchers nationwide through cloud-based access. This project will provide the means for nationwide collaborative discovery and collective effort to accelerate the research and workforce development of CAV technologies.
The project will also significantly broaden participation by providing easier access to top-tier research infrastructure for the research community, especially those with less resources from under-served communities. The Mcity augmented reality testbed integrates three components: (1) a physical test facility including infrastructure and CAV fleet, (2) a mobility data center that collects and shares near-real-time traffic information from 21 intersections, (3) an augmented naturalistic driving simulator.
This testbed will be automated so researchers can configure and control the test facility infrastructure (e.g., traffic lights, crosswalk buttons, rail-crossing arms, etc.) and build test scenarios using a web-based graphical user interface. The mobility data center will make available sensor data sharing messages (SDSMS) broadcast by roadside units (RSUs) in the Ann Arbor Living Laboratory publicly to the research community. Such data will be used to develop a naturalistic driving environment (NDE) simulator that users can test their algorithms before deployment at the physical Mcity test facility, with a blend of real and virtual fellow road users.
All test data will be archived in a cloud database to enable secure access and data/method sharing for research and education purposes. A technical advisory committee, composed of members of government, academia, and industry, will be established to ensure equitable and effective usage of this research infrastructure. Education and outreach activities are planned annually to strengthen academic-industry partnerships and workforce development for the emerging CAV industry.
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.
Although significant research effort has been dedicated to the research and development of CAV technologies, most research ideas have been tested using simulation only with limited open datasets. Access to physical test facilities and large-scale real-world data is limited, severely hindering the progress of scientific research and technology development.
This project will leverage the University of Michigan's existing Mcity test facility - the world's first purpose-built CAV proving ground - by integrating the physical test track with a software simulation environment to create an augmented-reality CAV testbed that would be made available to academic researchers nationwide through cloud-based access. This project will provide the means for nationwide collaborative discovery and collective effort to accelerate the research and workforce development of CAV technologies.
The project will also significantly broaden participation by providing easier access to top-tier research infrastructure for the research community, especially those with less resources from under-served communities. The Mcity augmented reality testbed integrates three components: (1) a physical test facility including infrastructure and CAV fleet, (2) a mobility data center that collects and shares near-real-time traffic information from 21 intersections, (3) an augmented naturalistic driving simulator.
This testbed will be automated so researchers can configure and control the test facility infrastructure (e.g., traffic lights, crosswalk buttons, rail-crossing arms, etc.) and build test scenarios using a web-based graphical user interface. The mobility data center will make available sensor data sharing messages (SDSMS) broadcast by roadside units (RSUs) in the Ann Arbor Living Laboratory publicly to the research community. Such data will be used to develop a naturalistic driving environment (NDE) simulator that users can test their algorithms before deployment at the physical Mcity test facility, with a blend of real and virtual fellow road users.
All test data will be archived in a cloud database to enable secure access and data/method sharing for research and education purposes. A technical advisory committee, composed of members of government, academia, and industry, will be established to ensure equitable and effective usage of this research infrastructure. Education and outreach activities are planned annually to strengthen academic-industry partnerships and workforce development for the emerging CAV industry.
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.
Funding Goals
THE GOAL OF THIS PROGRAM IS TO SUPPORT RESEARCH PROPOSALS SPECIFIC TO "CIVIL INFRASTRUCTURE SYSTEMS
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
Ann Arbor,
Michigan
48109-1274
United States
Geographic Scope
Single Zip Code
Related Opportunity
Analysis Notes
Amendment Since initial award the total obligations have increased 1606% from $300,000 to $5,118,625.
Regents Of The University Of Michigan was awarded
Augmented-Reality CAV Testbed: Accelerating Autonomous Transportation Research
Cooperative Agreement 2223517
worth $5,118,625
from the Division of Civil, Mechanical, and Manufacturing Innovation in October 2022 with work to be completed primarily in Ann Arbor Michigan United States.
The grant
has a duration of 4 years and
was awarded through assistance program 47.041 Engineering.
The Cooperative Agreement was awarded through grant opportunity Civil Infrastructure Systems.
Status
(Ongoing)
Last Modified 9/25/24
Period of Performance
10/1/22
Start Date
9/30/26
End Date
Funding Split
$5.1M
Federal Obligation
$0.0
Non-Federal Obligation
$5.1M
Total Obligated
Activity Timeline
Transaction History
Modifications to 2223517
Additional Detail
Award ID FAIN
2223517
SAI Number
None
Award ID URI
SAI EXEMPT
Awardee Classifications
Public/State Controlled Institution Of Higher Education
Awarding Office
490703 DIV OF CIVIL, MECHAN MANUF INNOV
Funding Office
490703 DIV OF CIVIL, MECHAN MANUF INNOV
Awardee UEI
GNJ7BBP73WE9
Awardee CAGE
03399
Performance District
MI-06
Senators
Debbie Stabenow
Gary Peters
Gary Peters
Budget Funding
| Federal Account | Budget Subfunction | Object Class | Total | Percentage |
|---|---|---|---|---|
| Research and Related Activities, National Science Foundation (049-0100) | General science and basic research | Grants, subsidies, and contributions (41.0) | $2,205,223 | 100% |
Modified: 9/25/24