Assessing Pavement Markings for Automated Vehicle Readiness Status: CompleteReport Date: 09/06/2024 Summary: Blind spot monitoring, lane departure warnings and adaptive cruise control are among the functions of automated vehicles (AVs) with significant potential safety benefits. To accurately function, lane keep systems rely on camera-based sensors to detect pavement markings and help a vehicle track the roadway lanes. New research results increase understanding of pavement marking design qualities that optimize AV function. Using two different camera systems and four different vehicle makes and models with a range of automated functions, researchers observed camera and vehicle tracking performance on roads with a variety of pavement marking characteristics. Results of this study and a companion project exploring human response to pavement marking variations led to recommendations for MnDOT to modify marking designs to work better for AVs as well as human drivers. Suggested changes include slightly changing the standard highway lane divider mark-to-gap ratio, widening stripes to 6 inches as allowable and delineating turn lanes and exit ramps with dotted lines. Final Deliverables: Assessing Pavement Markings for Automated Vehicle Readiness (Report #2024-16) Pavement Markings to Support Automated Vehicles (Research Summary) Related Materials: Related Research: Pavement Markings - Wet Retroreflectivity Standards
