driver behavior

Evaluating Human Safety Factors in Advanced Driver Assistance Systems Under Adaptive Traffic Signal Control: A Simulator-Based Vehicle-to-Infrastructure Study

  • Principal Investigator Fengxiang Qiao, Ph.D.
  • Texas Southern University
This project uses driving simulator experiments to examine how drivers interact with Advanced Driver Assistance Systems and adaptive traffic signals, and to identify human factors such as trust, attention, over-reliance, and automation surprise that could affect the safety of vehicle-to-infrastructure systems.
Project Status
In Progress

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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