United States Department of Transportation
i
Real-World Use of Automated Driving Systems and their Safety Consequences: A Naturalistic Driving Data Analysis [supporting datasets]
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2020-10-31
[PDF-144.87 KB]
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Alternative Title:The Virginia Connected Corridor 50 Elite Vehicle Naturalistic Driving;Study (VCC50 Elite NDS) (00-029) Dataset;
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Abstract:Automated driving systems (ADS) have the potential to fundamentally transform transportation by reducing crashes, congestion, and cost while improving traffic efficiency and access to mobility for the transportation-challenged population. However, people may not use ADS as intended due to their misunderstanding of such systems’ capabilities and limitations. Recent news articles, reporting Tesla drivers napping behind the wheel, suggest the need for a better understanding of how people are using ADS as well as what benefits and consequence that such systems have on transportation safety. Therefore, this work aims to investigate the (1) real-world use of automated longitudinal and lateral control features (e.g., adaptive cruise control and lane keeping assistance), (2) capabilities and limitations of such systems found in real-world operation, as well as (3) safety benefits and unintended consequences of these technologies. For this purpose, this study will leverage data collected from 50 participants who drove personally owned vehicles equipped with ADS for 12 months. The work is expected to contribute to a greater understanding of the prevalence and safety consequences of ADS use on public roadways, as well as drivers’ perception of the early production ADS. The findings from this project may further inform the development of human-machine interfaces, training programs, and owners’ manuals to reduce unintended use of ADS and negative consequences. The identified characteristics of the situations when the driving automation requested human drivers’ intervention or failed without alerts will further inform the development of testing scenarios to ensure ADS safety.
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