Artificial Intelligence

Exploring Top-Down Visual Attention for Transportation Behavior Analysis

This project stands at the intersection of cognitive psychology, AI and computer vision, and transportation safety and efficiency. By focusing on the nuanced ways in which humans allocate their visual attention, and how this can inform the development of artificial intelligence (AI) and machine learning (ML) to aid in self-driving cars, transportation safety automation, and

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Future Travel Foresight Catalyst: A Unique Approach to Exploring the Intersection of Transformative Technologies and Future Travel Behavior and Demand

A growing number of advanced technologies — including AI, automation, robotics, spatial computing, quantum technologies, and more — have the potential to revolutionize future travel behavior and demand. However successfully navigating the intersection between travel, emerging technologies, and a changing society, will demand bold new ideas and insights. Building on and integrating with the work

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