CLOSE OVERLAY
Project Details
STATUS

In-Progress

START DATE

05/31/18

END DATE

03/14/21

SPONSORS

University of Nebraska Medical Center

Researchers
Principal Investigator
Anuj Sharma

Research Scientist and Leader, REACTOR

About the research

The overall goal of collaborative work between Mind & Brain Health Labs (MBHL) at the University of Nebraska Medical Center’s Department of Neurological Sciences and the REACTOR Lab at Iowa State University’s Institute for Transportation is to advance the analysis and understanding of patterns of real-world driver behavior and health in drivers with functional impairments due to aging and related medical conditions. These results will develop measures that will be used in statistical modeling to inform patients, caregivers, interventions (education, training, medical), policy, and design of supportive in-vehicle technology that is responsive to driver state.

MBHL has collected large amounts of data naturalistic driving data in older adults, which is associated with demographic, health, cognitive, and mobility data. This partnership will combine expertise in big data analytics and machine learning from the REACTOR lab with human behavior, modeling, and medical expertise from MBHL to successfully determine individual driver’s profiles of safety relevant health and behavior changes during real-world driving.

Project Details
STATUS

In-Progress

START DATE

05/01/17

END DATE

05/31/19

SPONSORS

16 States
University of Nebraska Medical Center

Researchers
Principal Investigator
Anuj Sharma

Research Scientist and Leader, REACTOR

About the research

The overall goal of collaborative work between Mind & Brain Health Labs (MBHL) at the University of Nebraska Medical Center’s Department of Neurological Sciences and REACTOR Lab at Iowa State University’s Institute for Transportation is to advance the analysis and understanding of patterns of real-world driver behavior and health in drivers with functional impairments due to aging and related medical conditions. These results will develop measures that will be used in statistical modeling to inform patients, caregivers, interventions (education, training, medical), policy, and design of supportive in-vehicle technology that is responsive to driver state.

The main objectives of the partnership are to:

  • Determine, detect, and analyze safety and medically relevant metrics of driver state from driving, demographic, medical, behavior, and cognitive data.
  • Determine, detect, and analyze safety relevant metrics of the driving environment and the behavior of the driver in the environment.
  • Design solutions that can:
    • Be used to develop models that inform changes in driver health and behavior.
    • Inform interventions (education, training, medical, and in-vehicle) to improve driver health and behavior.
TOP