Ford SAVE-IT Update to NHTSA
Ford SAVE-IT Update to NHTSA: October 31, 2008. Ford Team Members: Mike Blommer, Reates Curry, Jeff Greenberg, Dev Kochhar, Louis Tijerina, Craig Simonds, and David Watson.
safety
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System Integration
The objective of Task 13 (System Integration) is to provide two system versions that implement the variety of technologies studied in this program in order to provide Distraction Mitigation and Adaptive Safety Warning countermeasures as defined in the previous tasks.
Data Fusion for Distraction Mitigation and Safety Warning Countermeasures
The data fusion task was a collection of studies that were necessary to bridge the gaps between the component tasks (1-10) and the final system integration (Task 13), in preparation for the Task 14 evaluations.
Advanced Safety Warning Countermeasures
The objective of Task 9 (Adaptive Safety Warning Countermeasures) is to improve safety-warning systems by designing these systems to adaptively respond to real-time measures of driver distraction.
Visual Distraction
The objective of Task 7 was to investigate how visual distraction impacts driving performance.
Technique for Identifying Cognitive Demands from In-Vehicle Device Use while Driving
The objective of Task 6C (Telematics Demand) is to develop a means to identify cognitive demand resulting from in-vehicle device use while driving. This information will complement measures of driver state as an input to moderate information interaction with the IVIS and mitigate distraction.
Algorithms to Assess Cognitive Distraction
The objective of Task 5 (Cognitive Distraction) is to develop an algorithm that uses driver state information to predict decrements in driving performance due to cognitive distraction.
Distraction Mitigation Evaluation
The objective of Task 4 (Distraction Mitigation) is to develop countermeasures that mitigate distraction in a way that drivers find acceptable.
Driving Performance
The objective of Task 3c (Performance) is to infer from driving performance in real time when the driver appears to be distracted, and then regulate secondary tasks (by locking them out, warning the driver, etc.) based on that information.
Driving Task Demand
The objectives of Task 2c (develop and validate equations) were to determine (1) how various vehicle parameters that are measurable by technologies in the SAVE-IT program can be combined to predict drivers’ subjective ratings of driving task demand (especially as a function of road geometry and...