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Assessing Pavement Markings for Automated Vehicle Readiness
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2024-06-01
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[PDF-10.47 MB]
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Edition:Final Report
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Abstract:New technologies are being added to vehicles at a growing rate to assist drivers and even fully take over the driving task in some situations. These technologies are generally camera-based and typically rely on pavement markings to maintain vehicle position and navigate the roadway. As drivers become more reliant on these systems, and for these systems to meet their potential safety benefits, the pavement marking infrastructure needs to be optimized to provide adequate roadway delineation. What is somewhat unknown is how different this optimized pavement marking system is from current practice and how different are the visibility needs of vehicle systems and the human eye. This project explores how various pavement marking configurations impact automated driving systems' ability to track the markings and maintain lane position. Evaluations take place in Texas and Minnesota on closed-course, open-road, and pavement marking test areas. Various camera-based systems are used to view the markings and generate feedback on the impact of the marking configurations and characteristics on the ability of the camera systems to track the markings. The research team analyzes the test results and provides recommendations to improve pavement markings to increase the function and reliability of camera-based pavement marking tracking driver assist features such as lane centering. The goal is to improve and maintain markings so the driver assist features can function reliably and yield safety improvements by reducing crashes, especially run-off-road crashes.
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