
NSF Org: |
CNS Division Of Computer and Network Systems |
Recipient: |
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Initial Amendment Date: | September 20, 2016 |
Latest Amendment Date: | March 7, 2019 |
Award Number: | 1626374 |
Award Instrument: | Standard Grant |
Program Manager: |
Marilyn McClure
mmcclure@nsf.gov (703)292-5197 CNS Division Of Computer and Network Systems CSE Directorate for Computer and Information Science and Engineering |
Start Date: | October 1, 2016 |
End Date: | September 30, 2021 (Estimated) |
Total Intended Award Amount: | $1,200,000.00 |
Total Awarded Amount to Date: | $1,200,000.00 |
Funds Obligated to Date: |
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History of Investigator: |
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Recipient Sponsored Research Office: |
520 LEE ENTRANCE STE 211 AMHERST NY US 14228-2577 (716)645-2634 |
Sponsor Congressional District: |
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Primary Place of Performance: |
312 Davis Hall Buffalo NY US 14260-7016 |
Primary Place of
Performance Congressional District: |
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Unique Entity Identifier (UEI): |
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Parent UEI: |
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NSF Program(s): |
Major Research Instrumentation, Special Projects - CNS, Special Projects - CCF, IIS Special Projects |
Primary Program Source: |
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Program Reference Code(s): |
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Program Element Code(s): |
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Award Agency Code: | 4900 |
Fund Agency Code: | 4900 |
Assistance Listing Number(s): | 47.070 |
ABSTRACT
This project, developing an integrated 5-in-1 instrument for connected and autonomous vehicle (respectively, CV and AV) evaluation and experimentation (iCAVE2), addresses open research challenges in surface transportation systems where statistics on accidents and fatalities, congestion, fuel consumptions, and emissions have raised serious concerns. This work addresses a critical societal need related to evaluating and experimenting with the emerging and potentially transformative CV/AV technologies by developing a necessary instrument that can bridge the gap between existing simulators and road testing facilities. The instrument is useful to researchers in academia and IT industry, and developers and decision makers in the auto-manufacturing, auto-insurance and government transportation agencies. Graduate assistants will be trained with hands-on experiences and multi-disciplinary knowledge. The instrument enables expansion of several programs and contributes to the education and training in the STEM fields. Consequently, better driver training and related rehabilitation should be expected.
iCAVE consists of: 1. Multiple driving simulators (DS) to conduct human/hardware-in-the-loop experiments in a Virtual Reality (VR), 2. A traffic simulator (TS) whose vehicles can mimic, CVs and AVs move in mixed traffic situations with a fairly realistic traffic environment, 3. A Network Simulator (NS) with realistic wireless communication models to evaluate various Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communications technologies, 4. Several Instrumented Vehicles (IVs) including a fully instrumented CV and a AV to conduct real-world experiments and connect data, and 5. An Instrumented Environment (IE) with various traffic sensors and road-side units for V3V/V2I communications covering an area of approximately1.2 square miles with representative urban traffic. The instrumented environment and vehicles provide real-world measurement data to build and calibrate parameters/models for use by the integrated simulators. They can also be used to run CV/AV algorithms and applications to collect data, and evaluate their performance and effectiveness. The instrument will be available to both local and remote users. Its main software module will be developed based on a framework for real-time data distribution, with open APIs and as an open-source project. New designs, technologies, infrastructure, and applications will be evaluated and validated before deployment. This flexible, scalable, safe, and realistic platform, expected to be particularly suitable for answering various "what-if" questions related to safety, efficiency, and sustainability arising from human-automation interactions with not-yet-available technologies and rare/extreme events, is the first-of-its-kind with unprecedented capabilities, not offered by any simulator-based instrument or test-beds in academic, industrial or government-based R&D laboratories. The instrument should also enable activities related to Big Data transportation systems.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
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PROJECT OUTCOMES REPORT
Disclaimer
This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.
While surface transportation systems provide many indispensable functions to our society, several alarming statistics on road accidents and traffic congestion, etc. have raised serious concerns over the sustainability of today’s transportation systems. Next generation transportation systems based on Connected and Autonomous Vehicles (CAVs) have been proposed to bring about transformative improvements.
However, as often is the case with new technologies, CAVs must be evaluated, optimized, validated and tested before they can be deployed. The need for appropriate instruments and platforms for carrying out validation and evaluation experiments is especially prominent for CAVs, because it’s a safety critical system. Previous works have mostly focused on using low-fidelity simulation or resorting to high-cost and inflexible road-testing, but neither is effective.
In this project, we have developed a 5-in-1 instrument, called Instrument for CAV Evaluation and Experimentation (or iCAVE2). More specifically, we have developed a new Instrument Control Module (ICM) that integrates (1). a traffic simulator (TS) that can provide realistic traffic conditions and driving environment; (2). a driving simulator (DS) supporting human-in-the-loop studies; (3). a network simulator (NS) capable of implementing many Vehicle-to-X (where X includes Infrastructure and Vehicle as well as others) communications protocols and applications. We have also acquired an instrumented vehicle (IV) as the fourth element of iCAVE2, namely a Lincoln MKZ outfitted with sensors, computers and wireless communications, to enable it to become an CAV. Finally, we have installed several roadside units along the above mentioned Service Center Road, and such an instrumented environment (IE) becomes the fifth element of the iCAVE2. The addition of IV and IE further enhances the fidelity of ICAVE2 and supports both Virtual and Augmented Reality (VR/AR).
The project has generated following additional outcomes:
1) Scientific findings and impacts: Our project has shown that the developed iCAVE2 can be used as a safe, low-cost and yet powerful and flexible platform to answer many “what-if” questions, including those related to rare events (such as accidents or inclement weather) without subjecting human to potential risks. Our project has inspired much follow-up work on building and using simulation platforms in the industry and in academia. Some of these works are ongoing.
2) Physical and Cyber Infrastructure: We have developed iCAVE2, which includes an integrated simulator, an autonomous vehicle, and a CAV proving ground on UB’s North Campus which includes roadside infrastructure with a lidar, a camera and a WiFi AP as well as a DSRC roadside unit mounted on a lightpole. This infrastructure has already enabled a broad range of novel and multidisciplinary research, and is expected to continue support related research beyond the project’s lifetime.
3) Student training: the project trained a half-dozen PhD students, more than two dozens of MS students and about a dozen undergraduate students, as well as several high-school students, who either participated in or are exposed to research and development activities. Some of the students graduated are employed by companies that are working on CAVs (e.g., Waymo and Lyft) and transportation agencies. Several high-school students are admitted to college pursing STEM field.
4) Dissemination and outreach: we have published more than a dozen of papers at various conferences and journals. In addition, we have hosted several regional and national conferences and workshops, a dozen of public events, and a number of open houses, and provided demos and rides for hundreds of stakeholders from government agencies, academia and communities, prospective college students, and high school students, as well as students from URM groups attending summer camps. Among the notable visitors who have experienced iCAVE are former NSF director France A. Córdova and current NYS governor Kathy Hochul.
5) Collaboration and partnership building: the project has brought together not only faculty from diverse STEM within UB, but also partners from other high-end institutions including CMU, industry including Cisco and Southwest Research Institute (SwRI), and local and regional transportation agencie and communities. The partnership will have a long-lasting impact on the future research and development projects.
6) Other broader impact: we have worked with NYS legislators, along with major CAV companies to introduce new bills on both the NYS Senator and Assembly floors to push for new legislations that will allow CAV testing in NYS. We have subsequently secured funding for several projects funded by USDOT, NYSDOT, NYS Energy Research and Development Authority (NYSERDA) and Empire State Development (ESD). These projects not only build upon this MRI project and further enhance the instrument and infrastructure, but also promote the deployment of CAV technologies to address transportation and mobility challenges faced by local communities and our society as a whole.
Last Modified: 02/12/2022
Modified by: Chunming Qiao
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