United States Department of Transportation
i
Digitizing Traffic Control Infrastructure for Autonomous Vehicles (AV): Technical Report
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2024-01-01
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[PDF-9.04 MB]
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Edition:September 2021–August 2023
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Abstract:High precision road maps are a crucial component to facilitating autonomous driving techniques. Although current Autonomous vehicles (AVs) rely on vehicular sensing techniques (e.g., camera, light detection and ranging [LiDAR], radar), studies have suggested that creating high-quality road maps with traffic control infrastructures (TCIs) (e.g., traffic signs, signals, intersections) precisely digitized is necessary to enhance safe-driving operations of AVs. Meanwhile, digitizing TCIs is also of great importance for road assets planning and management. However, a readily available database with precisely digitized TCIs is still missing in most areas. Traditionally, TCIs are manually digitized by conducting field studies, which is time consuming and labor intensive. With the advancement of data collection and processing techniques, numerous emerging data sources are becoming available, posing great potential to capture and digitize TCIs more efficiently. In this project, the researchers developed an effective framework for the digitization, maintenance, and sharing of roadway assets, especially for TCIs. The research team evaluated available solutions (commercial, open-source, and public), investigated potential legal issues, and proposed new approaches by leveraging emerging data sources and techniques. Simulations based on various real-world scenarios were developed to evaluate the benefits of incorporating TCI digitized data in enhancing the safety and operational performance of AVs.
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