Mobility and transportation systems research uses data-driven analytics, human-centered design principles, computer simulation models, and experimental studies to design and utilize advanced automation technologies. These include autonomous cars, commercial and unmanned aerial vehicles, and wearable devices like exoskeletons. This research seeks to support all members of society by improving mobility and transportation from the individual scale to global networks.
This area includes:
Human Interaction and Decision Making: Increasing user trust and safety and enhancing interactions with highly automated and autonomous ground-based, airborne, and space vehicles, by understanding user behavior and decision making.
Enabling and Enhancing Mobility: Designing and integrating new technologies such as exoskeletons, and other robotic devices, to enhance human performance and increase public access for mobility-impaired and vision-impaired people.
Transportation Networks: Optimizing transportation networks for the public and businesses by integrating new modes of transportation and optimizing decision making to reduce traffic congestion and create more accessible services.