Development and Demonstration of a Cost Effective In-Vehicle Lane Departure and Advanced Curve Speed Warning System

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:

• Development and Demonstration of a Cost-Effective In-Vehicle Lane Departure and Advanced Curve Speed Warning System (Report #2018-34)
• GPS-Based System Warns Drivers About Lane Departures, Approaching Curves (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

Project Personnel:

Principal Investigator:  Imran Hayee

Technical Liaison:  Victor Lund

Project Coordinator:  Thomas Johnson-Kaiser

Panel Members: 
Cory Johnson - Transportation System Management and Operations
Derek Leuer - Traffic Engineering
Guy Kohlnhofer - Dodge County
Joe Gustafson - Washington County Public Works - Engineer
Kristi Sebastian - FHWA - Minnesota Division Office
Mark Vizecky - State Aid for Local Transp
Rick West - Stonebrooke Engineering
Sulmaan Khan - State Aid for Local Transp