United States Department of Transportation
i
A Taxonomy for Autonomous Vehicles Considering Ambient Road Infrastructure
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2023-07-01
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[PDF-2.34 MB]
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Abstract:To standardize definitions and guide the design, regulation, and policy related to automated transportation, the Society of Automotive Engineers (SAE) has established a taxonomy consisting of six levels of vehicle automation. The SAE taxonomy defines each level based on the capabilities of the automated system. It does not fully consider the infrastructure support required for each level. This can be considered a critical gap in the practice because the existing taxonomy does not account for the fact that the operational design domain (ODD) of any system must describe the specific conditions, including infrastructure, under which the system can function. In this paper, we argue that the ambient road infrastructure plays a critical role in characterizing the capabilities of autonomous vehicles (AVs) including mapping, perception, and motion planning, and therefore, the current taxonomy needs enhancement.
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Content Notes:This is an open access article under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) license https://creativecommons.org/licenses/by/4.0/. Please cite this article as: Chen, S.; Zong, S.; Chen, T.; Huang, Z.; Chen, Y.; Labi, S. A Taxonomy for Autonomous Vehicles Considering Ambient Road Infrastructure. Sustainability 2023, 15, 11258. https://doi.org/10.3390/su151411258
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