Development and Demonstration of a Cost Effective In-Vehicle Lane Departure and Advanced Curve Speed Warning System Status: CompleteReport Date: 12/24/2018 Summary: Researchers demonstrated an inventive approach to using consumer-level GPS data to deliver high-accuracy lane departure and curve warnings. The technology uses cumulative driving trajectory data from GPS points detected every 100 milliseconds to predict driving path trajectories and compare these to mapped curves and lanes. With further development, the system can be used as an inexpensive smartphone app or retail device that can warn drivers of lane drift and approaching curves, preventing lane and road departure accidents. Final Deliverables: Report #2018-34 Research Summary Related Materials: Related Research: Human factors of vehicle-based lane departure warning systems In-vehicle Dynamic Curve Speed Warnings at High Risk Rural Curves Development and Demonstration of an In-Vehicle Lane Departure Warning System using V2V Communication Development of a Smart Phone App to Warn the Driver of Unintentional Lane Departure Using GPS Technology