Real - Time and Secure Analysis of Pedestrian Data for Connected Vehicles CVs
Description: As the sources of regional connected vehicle data become more diverse and plentiful, infrastructure to support these data must scale to very large data; must support data of many types, including sensor data, text, and images; must securely support real-time processing for many applications; and must be trustworthy, and privacy-preserving. Public cloud infrastructure has advanced so that it now offers promising technologies for addressing these requirements. Our target applications include the real-time processing of connected vehicle data and traffic prediction, which is a critical component for many Intelligent Transportation Systems (ITS) applications, such as Advanced Traveler Information Systems, real-time route guidance, and emergency response systems planning. Intellectual Merit: This project has twofold aims that include: 1) the investigation of the effectiveness of public cloud infrastructure for the secure real-time processing of streaming data from connected vehicles, and 2) the design and implementation of two key applications of connected vehicle systems using a streaming data model. Broader Impacts: The outcomes of this research will include developed infrastructure along with best practice recommendations for several connected vehicle applications and lays the computing and technology groundwork for significant collaboration on Smart City, Intelligent Transportation Systems, and Smart Factory, along with connected vehicle applications, across the region.
Language
- English
Project
- Status: Completed
- Funding: $80635
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Contract Numbers:
69A3551747117
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Sponsor Organizations:
Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 1600 Harden Street
Columbia, South Carolina United States 29204Clemson University
110 Lowry Hall
Box 340911
Clemson, SC United States 29634-0911 -
Managing Organizations:
Clemson University
110 Lowry Hall
Box 340911
Clemson, SC United States 29634-0911 -
Project Managers:
Apon, Amy
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Performing Organizations:
Clemson University
110 Lowry Hall
Box 340911
Clemson, SC United States 29634-0911 1600 Harden Street
Columbia, South Carolina United States 29204 -
Principal Investigators:
Apon, Amy
Chowdhury, Mashrur
Comert, Gurcan
Rahman, Mizanur
Islam, Mhafuzul
Sood, Eshaa
Deng, Hsein-Wen
- Start Date: 20171101
- Expected Completion Date: 20190430
- Actual Completion Date: 20200825
- USDOT Program: University Transportation Centers Program
- Source Data: https://cecas.clemson.edu/C2M2/real-time-and-secure-analysis-of-pedestrian-data-for-connected-vehicles-final-report/
Subject/Index Terms
- TRT Terms: Connected vehicles; Intelligent transportation systems; Pedestrian flow; Real time data processing
- Subject Areas: Data and Information Technology; Pedestrians and Bicyclists; Vehicles and Equipment; VEHICLE DESIGN AND SAFETY;
Filing Info
- Accession Number: 01689027
- Record Type: Research project
- Source Agency: Center for Connected Multimodal Mobility
- Contract Numbers: 69A3551747117
- Files: UTC, RIP
- Created Date: Dec 18 2018 11:37AM