Cost-effective and Reliable Data and Communication Infrastructure for Enhancing Rural Transportation Safety and Efficiency
According to the Fatality Analysis Reporting System (FARS), 43% of all roadway fatalities occur on rural roads, although only 19% of the US population lives in rural areas. This is largely due to unique challenges associated with rural roads (e.g., varying roadway geometrics, frequent animal crossings, reduced cell phone and communication coverage). This project will address these challenges and improve roadway safety conditions and transportation efficiency on rural roads by leveraging enhanced network connectivity, integrated multi-source data, improved analytics, and secure, optimally built connected infrastructure. The project will use different tools such as Vehicle-to-Infrastructure (V2I), secure data sharing techniques, artificial intelligence (AI), networked sensors, and computer vision. Project outcomes include using connected and autonomous vehicles (CAVs) as mobile sensing probes and connected smart infrastructure with low-cost sensors to acquire location specific data that can be used for advance warning of pedestrians and bicyclists, animals, stopped vehicles, and other potential hazardous roadway conditions. These detection and warning systems will generate warning messages that will be sent to nearby vehicles via Cellular Vehicle-to-Everything (C-V2X). Since transportation data is heterogeneous and varies in type, size, and time sensitivity, novel, cost-effective, and secure data infrastructure is needed to improve rural mobility and safety. The project will result in a secure, cost-effective, and scalable data infrastructure that serves as a data foundation to support rural mobility and safety innovations and improvements. The resulting safety tools and data infrastructure will impact the operations, maintenance, and management of rural transportation systems and support the development of smart rural applications that will enable high-resolution local traveler information, community-oriented ridesharing, and Mobility as a Service (MaaS).
Language
- English
Project
- Status: Active
- Funding: $503,045
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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 -
Managing Organizations:
Center for Regional and Rural Connected Communities
North Carolina A&T State University
Greensboro, NC United States 27411Clemson University
Glenn Department of Civil Engineering
Clemson, SC United States 29634 -
Project Managers:
Sarasua, Wayne
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Performing Organizations:
Clemson University
216 Lowry Hall
Clemson, SC, SC United States 29634Florida Atlantic University, Boca Raton
Boca Raton, FL United States 33431North Carolina A&T State University
1601 E. Market Street
Greensboro, NC United States 27411 0708D Boyd Graduate Research Building
200 D.W. Brooks Drive
Athens, GA United States 30602 College of Engineering
Driftmier Engineering Center
Athens, Georgia United States 30602 -
Principal Investigators:
Chowdhury, Mashrur
Kaisar, Evangelos
Sarasua, Wayne
Sarrafzadeh, Mohammad-Hossein
Wang, Linbing
Yang, Jidong
- Start Date: 20230801
- Expected Completion Date: 20260731
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers Program
Subject/Index Terms
- TRT Terms: Data sharing; Mobile communication systems; Rural transportation; Traffic safety
- Subject Areas: Data and Information Technology; Highways; Safety and Human Factors;
Filing Info
- Accession Number: 01892123
- Record Type: Research project
- Source Agency: Center for Regional and Rural Connected Communities
- Files: UTC, RIP
- Created Date: Aug 31 2023 3:31PM