Feasibility of Real-Time Infrastructure-Driven Intervention for Improving Pedestrian Safety

The long-term objective of this research is to improve vulnerable road user (VRU) safety in all neighborhoods in an inclusive and equitable way. For this project, the research team leveraged the existing infrastructure in Chattanooga, Tennessee (MLK Smart Corridor) to explore various wireless communication technologies for generating critical traffic notifications for both connected and nonconnected VRUs and vehicles in real time. More specifically, the team implemented Software-Defined Radio (SDR)-based technologies on University of Tennessee, Chattanooga (UTC) campus and then evaluated them at two intersections within the Chattanooga Smart City testbed, Houston and Douglas. The team employed two laptops and two SDRs to transmit and receive the signals. The receiver assumes the role of a pedestrian traversing the intersection with a laptop, SDR and an external Global Positioning System (GPS). Data collection is conducted for both LTE and BLE at each intersection. The experiments and analysis effectively characterize the latency and reliability profiles of LTE and BLE in an urban environment through hexagonal binning visualizations and quantitative performance metrics. This furnishes critical insights into the real-world capabilities of these salient Internet of Things (IoT) protocols.

Language

  • English

Project

  • Status: Completed
  • Funding: $150000
  • Contract Numbers:

    RES2023-25

  • Sponsor Organizations:

    Tennessee Department of Transportation

    James K. Polk Building
    Fifth and Deaderick Street
    Nashville, TN  United States  37243-0349
  • Managing Organizations:

    Tennessee Department of Transportation

    James K. Polk Building
    Fifth and Deaderick Street
    Nashville, TN  United States  37243-0349
  • Project Managers:

    Rogers, William

  • Performing Organizations:

    University of Tennessee, Chattanooga

    Department of Computer Science and Engineering
    Chattanooga, TN  United States  37403
  • Principal Investigators:

    Sartipi, Mina

  • Start Date: 20221031
  • Expected Completion Date: 20231031
  • Actual Completion Date: 20231031
  • USDOT Program: Human Factors Analytics
  • USDOT Program: Infrastructure
  • Subprogram: Human Factors Design Standards, Guidance, and Studies Supporting NAS Technology Integration
  • Subprogram: Transportation, Planning, Research, and Development
  • Subprogram: Emerging Technology
  • Source Data: SPR Funds

Subject/Index Terms

Filing Info

  • Accession Number: 01907076
  • Record Type: Research project
  • Source Agency: Tennessee Department of Transportation
  • Contract Numbers: RES2023-25
  • Files: RIP, STATEDOT
  • Created Date: Feb 6 2024 2:47PM