Presentation
Impacts of Infrastructure-Assisted In-Vehicle Warning on Driving Behavior and Eye Movement at Roundabouts
DescriptionThere is limited research exploring infrastructure-based warning systems on drivers’ behaviors in roundabout scenarios, which are challenging for human drivers. We recruited 36 participants to navigate the roundabout and analyzed their driving behaviors and eye movements under various warning conditions and different merging aggressiveness levels using a customized driving simulator that integrates SUMO and Webots. By providing drivers with increased time to react and maintain a safer distance from potential hazards, an infrastructure-based in-vehicle warning system enhanced participants’ overall driving comfort. With the presence of a warning system, drivers tend to allocate attention resources based on the guidance of the warning. Our study also revealed that relying on one type of metric may provide a skewed perspective as the change of one metric could be mitigated by the change of another. Therefore, a holistic understanding of the situation necessitates the integration of various types of metrics.
Event Type
Lecture
TimeThursday, September 12th10:25am - 10:45am MST
LocationFLW Salon G
Surface Transportation