bullet2 Improve the interaction of the driver with an autonomous vehicle system to avert or minimize the impact of crashes.
bullet2 Develop standard simulation/verification models to effectively understand human behavior and pre-crash safety over a wide range of autonomous vehicle properties and behaviors.
bullet2 Use human behavior data across such variables as age, physical size, or alcohol intake, to inform the actions of the driver in pre-crash scenarios.
bullet2 Include policy and regulation considerations early in the R&D process to accelerate the transition of promising research outcomes into widespread practice.



2 Pre-crash Multi-vehicle Experimental Analysis Using a Networked Multiple Driving Simulator Facility
2 Driver Models for Both Human and Autonomous Vehicles with Different Sensing Technologies and Near-crash Activity
2 Cognitive Attention Models for Driver Engagement in Intelligent and Semi-autonomous Vehicles
2 Bioinjury Implications of Pre-crash Safety Modeling and Intervention
2 Pre-Crash Interactions Between Pedestrians and Cyclists and Intelligent Vehicles
2 Safety Policy Implications and Information Dissemination
2 Technology and Enhancements to Improve Pre-Crash Safety

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