Safety enhancement by detecting driver impairment through analysis of real-time volatilities

The overall goal of the project is to focus on understanding early detection of driver impairment using streaming biometric information coupled with data on vehicle performance and surrounding contexts. During Phase 1 of the project, the team focused on developing a framework for driver impairment detection through analysis of driver biometric information along with vehicle and road infrastructure factors, with streaming data. This project will contribute by implementing the framework and the model developed in Phase 1 to detect impaired driving and any abnormality in the driver, vehicle, and roadway/environment system performance. The model can be used by transportation stakeholders to reduce the probability of crashes. The motivation behind our research is to enhance safety by monitoring driver actions and detecting impairment. To accomplish this task, the project team will conduct experiments in a simulated environment where they will request the participants to emulate specific distracted driving behaviors, e.g., texting, reading, looking at scenery, drowsiness, and drinking. The project team will take a multimodal approach to data collection, monitoring, and analysis. Specifically, the data will include driver biometric signals, vehicle dynamics and telemetry, and external environmental conditions, e.g., traffic flow, simulated weather, day/night conditions. The outcomes of this project will include embedding leading indicators of impairment in Advanced Driver Assistance System (ADAS) that can greatly enhance safety, given the substantial interest from major automotive and information technology companies, especially for applications in fleet vehicles.


  • English


  • Status: Active
  • Funding: $TBD
  • Contract Numbers:


  • 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:

    Collaborative Sciences Center for Road Safety

    University of North Carolina, Chapel Hill
    Chapel Hill, NC  United States  27514
  • Project Managers:

    Sandt, Laura

  • Performing Organizations:

    University of Tennessee, Knoxville

    Knoxville, TN  United States 

    University of North Carolina at Chapel Hill

    UNC-CH New East Building
    Campus Box #3140
    Chapel Hill, North Carolina  United States  27599-3140
  • Principal Investigators:

    Khattak, Asad

    Chakraborty, Subhadeep

    Clamann, Michael

  • Start Date: 20210501
  • Expected Completion Date: 20220831
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers Program

Subject/Index Terms

Filing Info

  • Accession Number: 01771371
  • Record Type: Research project
  • Source Agency: Collaborative Sciences Center for Road Safety
  • Contract Numbers: 69A3551747113
  • Files: UTC, RIP
  • Created Date: May 7 2021 10:24AM