Systems and methods for dynamically relocating transportation infrastructure assets — such as portable sensors and emergency response units — based on real-time network conditions to optimize coverage and response efficiency.
A system using hidden Markov models and driver glance behavior data to predict when a driver’s attention lapses, enabling proactive safety alerts and hazard detection in connected and autonomous vehicle environments.
A dynamic rerouting system combining real-time traffic data, user behavioral models, and information-theoretic decision-making to personalize and adapt navigation routes for multimodal transportation users in real time.
An information-theoretic framework enabling autonomous robotic devices — including NASA Mars rovers and aerial vehicles — to navigate efficiently in unknown and uncertain environments using scalable multi-agent path planning.