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).


  • English


  • Status: Active
  • Funding: $503,045
  • 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  27411

    Clemson University

    Glenn Department of Civil Engineering
    Clemson, SC  United States  29634
  • Project Managers:

    Sarasua, Wayne

  • Performing Organizations:

    Clemson University

    216 Lowry Hall
    Clemson, SC, SC  United States  29634

    Florida Atlantic University, Boca Raton

    Boca Raton, FL  United States  33431

    North Carolina A&T State University

    1601 E. Market Street
    Greensboro, NC  United States  27411

    University of Georgia, Athens

    0708D Boyd Graduate Research Building
    200 D.W. Brooks Drive
    Athens, GA  United States  30602

    University of Georgia, Athens

    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

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