Assessment of U.S. Department of Transportation Lane-Level Map for Connected Vehicle Applications
Wang Hu, David Oswald, Guoyuan Wu, Jay A. Farrell

TL;DR
This paper evaluates the accuracy of the USDOT lane-level map tool for connected vehicle applications, demonstrating it achieves 17 centimeters horizontal accuracy and meets lane-level requirements.
Contribution
It provides the first detailed analysis of the USDOT map tool's accuracy, including error sources and validation against surveyed feature points.
Findings
USDOT map tool achieves 17 cm horizontal accuracy
Maximum error is less than 30 cm
Map accuracy meets lane-level requirements
Abstract
High-definition (Hi-Def) digital maps are an indispensable automated driving technology that is developing rapidly. There are various commercial or governmental map products in the market. It is notable that the U.S. Department of Transportation (USDOT) map tool allows the user to create MAP and Signal Phase and Timing (SPaT) messages with free access. However, an analysis of the accuracy of this map tool is currently lacking in the literature. This paper provides such an analysis. The analysis manually selects 39 feature points within about 200 meters of the verified point and 55 feature points over longer distances from the verified point. All feature locations are surveyed using GNSS and mapped using the USDOT tool. Different error sources are evaluated to allow assessment of the USDOT map accuracy. In this investigation, The USDOT map tool is demonstrated to achieve 17 centimeters…
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Taxonomy
TopicsRemote Sensing and LiDAR Applications · Autonomous Vehicle Technology and Safety · Automated Road and Building Extraction
