Robotics & Machine Learning Daily News2024,Issue(Sep.4) :27-28.

Findings from Oklahoma State University Update Knowledge of Machine Learning (Pa vement Safety Characteristics Evaluation Utilizing Crowdsourced Vehicular and Ce llular Sensor Data)

Robotics & Machine Learning Daily News2024,Issue(Sep.4) :27-28.

Findings from Oklahoma State University Update Knowledge of Machine Learning (Pa vement Safety Characteristics Evaluation Utilizing Crowdsourced Vehicular and Ce llular Sensor Data)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news originatingfrom Stillwater, Oklahoma, by News Rx correspondents, research stated, “Monitoring pavement conditionsusing crowds ourced vehicular data can significantly contribute to real-time and cost-effecti ve pavementmaintenance decision-making. This paper presents the development of various machine learning modelsfor predicting crucial pavement characteristics essential for ensuring roadway safety, including roadwaylongitudinal grade, cro ss slope, international roughness index, surface rutting, and pavement skid resistance.”

Key words

Stillwater/Oklahoma/United States/Nor th and Central America/Cyborgs/Emerging Technologies/Machine Learning/Oklaho ma State University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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