driver behavior

Optimizing External Human-Machine Interfaces (eHMIs) Designs in Autonomous Vehicles to Improve Communication with Drivers and Bicyclists

  • Principal Investigator Fengxiang Qiao, Ph.D.
  • Texas Southern University
This project will develop, assess, and optimize the concept of External Human-Machine Interfaces, which enable intuitive communication between autonomous vehicles and other road users, to foster positive perceptions, build trust, and ensure safe interactions in mixed traffic scenarios.
Project Status
In Progress

Personalized Coordinated Routing with Utility Learning

Research Product Type
Research Brief
This research proposes a utility learning mechanism to estimate drivers' routing preferences for coordinated routing systems. This research brief discusses the results and effectiveness of the coordinated routing system and the utility learning mechanism.
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