United States Department of Transportation
i
Advancing Accelerated Testing Protocols for Safe and Reliable Deployment of Connected and Automated Vehicles Through Iterative Deployment in Physical and Digital Worlds [supporting dataset]
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2022-02-10
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Alternative Title:Safety Testing for Connected and Automated Vehicles Through Physical and Digital Iterative Deployment [R27]
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Abstract:As Automated Vehicles diffuse through the transportation system, it is important to understand their safety performance. Although few AV-involved crashes have occurred on roads during testing, they pose new challenges and opportunities for improving safety. The challenges come from using complex automation technologies operating at high speeds to make lateral and longitudinal control decisions, increasing the chances of software and hardware failure. Are vehicles with lower or higher automation safe enough to drive on public roads, and more fundamentally, how do we assess their safety envelope? At the same time, there are opportunities to understand AV-involved crashes by leveraging newly available AV data. In this CSCRS project (reporting on Year 1 activities), we take steps toward developing testing procedures for connected and automated vehicles by using a novel software and physical deployment platform which allows rapid iterative development.
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Content Notes:National Transportation Library (NTL) Curation Note: As this dataset is preserved in a repository outside U.S. DOT control, as allowed by the U.S. DOT’s Public Access Plan (https://doi.org/10.21949/1503647) Section 7.4.2 Data, the NTL staff has performed NO additional curation actions on this dataset. This dataset has been curated to CoreTrustSeal's curation level "C. Initial Curation." To find out more information on CoreTrustSeal's curation levels, please consult their "Curation & Preservation Levels" CoreTrustSeal Discussion Paper" (https://doi.org/10.5281/zenodo.11476980). NTL staff last accessed this dataset at its repository URL on 2024-09-05. If, in the future, you have trouble accessing this dataset at the host repository, please email NTLDataCurator@dot.gov describing your problem. NTL staff will do its best to assist you at that time.
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