Projects

Usable Vehicle Interface Design (UVID)

Dr. Kathleen Klinich and a multidisciplinary team at UMTRI were recently awarded nearly $1m to continue their work making mobility more accessible for all. The project, Usable Vehicle Interface Design (UVID) proposes to develop guidelines for ensuring accessible vehicle interfaces that are inclusive for disabled drivers and passengers. Vehicle types will include currently available Level 1 and Level 2 vehicles but will inform design of future automated driving system (ADS) vehicles. The project will include people with physical, mobility, sensory, and cognitive disabilities as participants and advisors to the project team. This project is funded by NHTSA. Co-investigators for the project are Dr. Shan Bao, Dr. Monica Jones, Dr. Renee St. Louis, Dr. Colleen Peterson, and Dr. Huizhong Guo as well as research staff from the Biosciences, Behavioral Sciences, and CMISST groups.

Principal Investigator: Kathy Klinich

UVID Project Details

Demonstration and Evaluation of Employer Based Driving Safety Programs

The “Demonstration and Evaluation of Employer Based Driving Safety Programs” project, will develop interventions and evaluate their effectiveness in three areas (safety belt use, distracted driving, and drowsy driving) in companies that have employees that drive for them. This work may lead to new policies and initiatives to reduce transportation-related crashes, injuries, and fatalities the resulting costs. This NHTSA sponsored project award is $2.4m (over five years).

Principal Investigator: David Eby

Ground Truth Trip Recorder

people crowded around a parked car

This project is about creating a Ground Truth Trip Recorder (GTTR) that can be retrofitted to any AV and can serve as an independent, objective method for assessing its performance on the road, during on-road testing (similar to a driver’s license test).  This is a feasibility study for whether measurements can be precise, comprehensive, and automatable enough to support on-road testing and evaluation.

Principal Investigator: Carol Flannagan

Smart Drivers Smart Options (SDSO) and Advanced Driver Assistance System (ADAS) Technology.

One woman driving a car

The project’s objectives are to reduce crashes and associated injuries related to older drivers in Michigan and to improve the quality of life and independence of older adults and the unpaid caregivers that provide transportation assistance to Michigan older adults, through an expansion of the Safe Drivers Smart Options (SDSO) strategy to include information about advanced driver assistance system (ADAS) technology. Activities include: gathering information about older drivers and ADAS technologies and organizing this information into a framework that can be added to the SDSO website; assessing awareness of the SDSO strategy in Michigan through surveys of the three target user groups for the SDSO strategy (Michigan older adults, Michigan informal caregivers who care for older for an older adult; and professionals who work with older adults on mobility-related issues); and integrating the ADAS information into the SDSO website and assist in marketing efforts.

Sponsor: Michigan Office of Highway Safety Planning.

https://www.michigan.gov/agingdriver

Principal Investigator: David Eby, with Lisa Molnar, Renée St. Louis, Jennifer Zakrajsek.

V2P: Improving Pedestrian Safety

Pedestrian crossing on Plymouth Road

Connected Vehicle technology can be used to help prevent many types of crashes, including those between vehicles and pedestrians.  UMTRI researchers are examining two methods for detecting pedestrians crossing the road. By detecting pedestrians in the road, and by using technology deployed as part of the Ann Arbor Connected Environment, some drivers will be able to receive warnings in their vehicle about pedestrians in the road ahead.  

Statistical Human Shape Modeling

Biosciences researchers are international leaders in statistical analysis of human anthropometry, shape, and posture. Online public tools can predict human shape as a function of age, height, weight, and gender for use in computational models and ergonomic applications.

HumanShape.org

Longitudinal Research on Aging Drivers (LongROAD)

Researchers from the Behavioral Sciences Group and their partners have undertaken a multisite prospective cohort study designed to generate empirical data for understanding the role of medical, behavioral, environmental and technological factors in driving safety during the process of aging.

LongROAD

Michigan Traffic Crash Facts

Center for Connected and Automated Transportation

Automated Technology

With a $2.4M grant from the U.S. Department of Transportation, the University of Michigan, along with its partners, has created the Center for Connected and Automated Transportation (CCAT). CCAT aims to advance research in the field of transportation safety, mobility, and sustainability via connected vehicles, connected infrastructure, and autonomous vehicles.

Principal Investigator: Henry Liu

Center for Connected and Automated Transportation (CCAT)

Motion Sickness Research

UMTRI researchers have developed innovative methodologies for collecting data from volunteers and vehicles to develop models that predict likelhood of passenger motion sickness as a function of vehicle dynamics. Results can be used to guide automated vehicle behaviors where a driver is not present to notice passenger discomfort.

Principal Investigator: Monica Jones

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New Testing in the Ann Arbor Connected Vehicle Environment

UMTRI and their industry partners have begun testing the simultaneous deployment of C-V2X and DSRC in the Ann Arbor Connected Environment (AACE).

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UTMOST: Unified Theory for Mapping Opportunities in Safety Technology

UTMOST is a visualization tool that shows the current distribution of crashes, injuries, and fatalities and allows the user to simulate the changes that would occur when implementing different safety or legislative countermeasures.

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Development of an Automated Wheelchair Tiedown and Occupant Restraint System

Researchers in the Biosciences group are working to make sure people who travel in wheelchairs can safely and independently travel in automated vehicles

Principal Investigator: Kathy Klinich

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