United States Department of Transportation
i
Safety Enhancement by Detecting Driver Impairment Through Analysis of Real-Time Volatilities [supporting dataset]
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2024-09-13
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[JSON-5.60 KB]
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Abstract:The overall goal of the project was to focus on understanding early detection of driver impairment using streaming biometric information coupled with data on vehicle performance and surrounding contexts. During Phase 1 of the project, the team focused on developing a framework for driver impairment detection through analysis of driver biometric information along with vehicle and road infrastructure factors, with streaming data. This project contributed by implementing the framework and the model developed in Phase 1 to detect impaired driving and any abnormality in the driver, vehicle, and roadway/environment system performance. The model can be used by transportation stakeholders to reduce the probability of crashes. The motivation behind our research is to enhance safety by monitoring driver actions and detecting impairment. To accomplish this task, our team conducted experiments in a simulated environment where we requested the participants to emulate specific distracted driving behaviors, e.g., texting, reading, looking at scenery, drowsiness, and drinking. We took a multimodal approach to data collection, monitoring, and analysis. Specifically, the data included driver biometric signals, vehicle dynamics and telemetry, and external environmental conditions, e.g., traffic flow, simulated weather, day/night conditions. The outcomes of this project include embedding leading indicators of impairment in Advanced Driver Assistance System (ADAS) that can greatly enhance safety, given the substantial interest from major automotive and information technology companies, especially for applications in fleet vehicles.
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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 2024-10-03. 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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