Dr. Bryan Reimer

Research Engineer
Associate Director, New England University Transportation Center

Primary DLC

Center for Transportation and Logistics

MIT Room: E40-275B

Research Summary

Bryan Reimer's research interests include the application of human factors, cognitive engineering and industrial engineering in: transportation, human machine interface development and assessment, assistive technology and healthcare. He finds how people allocate their visual attention in dynamic environments, the relationship between workload and performance and the impact of cognitive workload and stress on perception and decision making to be intriguing. Changes in behavior across the lifespan and the impact of disease and medication are key research questions.

At MIT, Dr. Reimer works with colleagues at the AgeLab, New England University Transportation Center, Center for Transportation and Logistics, Center for Computer Science and Artificial Intelligence (CSAIL) and Department of Aeronautics and Astronautics. In addition to collaborative research with colleagues in the United States, he works with researchers from Europe, Asia and Canada. Reimer's work has been supported by a number of major automotive manufacturers, insurance companies, pharmaceutical companies, smaller technology producers and startups, the Santos Family Foundation and the United States Department of Transportation.

Recent Work

  • Video

    11.15-16.23-RD-Reimer

    November 16, 2023Conference Video Duration: 34:9
    Human Centered Automobility: Learning and Evolving as a Continual Process 

    2020 Autonomy Day 1 - Bryan Reimer

    April 8, 2020Conference Video Duration: 29:15

    The concept of automating vehicles and removing the driver from direct control of the throttle, brake, and steering wheel was first explored nearly 100 years ago. Over the decades since, automation of various features has gradually infiltrated the automobile. Today, on the heels of the DARPA Urban Challenge and Google’s Self-Driving Car Project, we are closer than ever to realizing aspirations of a century ago, but challenges remain. This talk will center on elements of what is known about automation in the vehicle today and our evolution towards self-driving. Topics will include: observations on the use of Advanced Driver Assistance Systems (ADAS) and production level automated driving features (Autopilot, Pilot Assist, Super Cruise, etc.); the shifting nature of what we do in modern vehicles, challenging what is today’s distraction - secondary tasks or driving; and key points to consider regarding the future of robots on our roads. How might the intersection of artificial intelligence embodied in one the most complex activities humans perform - intersect with society’s demand for economical, efficient and safe mobility? How can human factors insight, psychological research, and policy leadership help to accelerate innovations that will someday change how we live and move? How fast might the automated, electrified future of mobility really take hold?