Robotics & Machine Learning Daily News2024,Issue(Feb.28) :101-101.DOI:10.3390/app14041396

Data on Self-Driving Cars Reported by a Researcher at North Dakota State University (Deciphering Autonomous Vehicle Regulations with Machine Learning)

Robotics & Machine Learning Daily News2024,Issue(Feb.28) :101-101.DOI:10.3390/app14041396

Data on Self-Driving Cars Reported by a Researcher at North Dakota State University (Deciphering Autonomous Vehicle Regulations with Machine Learning)

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Abstract

Fresh data on self-driving cars are presented in a new report. According to news originating fromFargo, North Dakota, by NewsRx correspondents, research stated, "The emergence of autonomous vehicles(AVs) presents a transformative shift in transportation, promising enhanced safety and economic efficiency."Funders for this research include United States' Department of Transportation.The news correspondents obtained a quote from the research from North Dakota State University:"However, a fragmented legislative landscape across the United States hampers AV deployment. Thisfragmentation creates significant challenges for AV manufacturers and stakeholders. This research contributesby employing advanced machine learning (ML) techniques to analyze state data, aiming to identifyfactors associated with the likelihood of passing AV-friendly legislation, particularly regarding the requirementfor human backup drivers. The findings reveal a nuanced interplay of socio-economic, political,demographic, and safety-related factors influencing the nature of AV legislation. Key variables such asdemocratic electoral college votes per capita, port tons per capita, population density, road fatalities percapita, and transit agency needs significantly impact legislative outcomes."

Key words

North Dakota State University/Fargo/North Dakota/United States/North and Central America/Cyborgs/Emerging Technologies/Machine Learning/Self-Driving Cars/Transportation

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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