Using Simulation Research to Make Driving Safer for Neurodivergent Teens
Published
(UTA Photo)
The University of Texas at Arlington is using a FAAC/ Realtime Technologies high-fidelity driving simulator to study how neurodivergent teens respond to complex driving environments. For many new drivers—especially those with ADHD, autism, or dyspraxia—the dynamic nature of traffic, pedestrians, and unexpected hazards can significantly increase cognitive load.
Advanced simulation allows researchers to recreate these scenarios safely and repeatedly while capturing detailed behavioral data. That level of insight is critical to understanding how different drivers perceive, process, and react to real-world hazards.
The goal of this work is especially compelling: using these insights to develop more adaptive, AI-enabled driver training approaches that better prepare young drivers for the realities of the road.
At FAAC / Realtime Technologies, we are proud to support researchers who are pushing the boundaries of transportation safety. When high-fidelity simulation is paired with thoughtful research and innovation, it creates powerful opportunities to make driver training more inclusive, more effective, and ultimately safer for everyone.
This collaboration is a great example of how academia and industry can work together to translate advanced simulation technology into real-world safety impact.