Robotics & Machine Learning Daily News2024,Issue(Aug.22) :22-23.

Beijing University of Technology Reports Findings in Machine Learning(Consideri ng multi-scale built environment in modeling severity of traffic violations by e lderly drivers: An interpretable machine learning framework)

Robotics & Machine Learning Daily News2024,Issue(Aug.22) :22-23.

Beijing University of Technology Reports Findings in Machine Learning(Consideri ng multi-scale built environment in modeling severity of traffic violations by e lderly drivers: An interpretable machine learning framework)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating from Beijing, Peo ple’s Republic of China, by NewsRx correspondents, research stated,“The causes of traffic violations by elderly drivers are different from those of other age g roups. To reduceserious traffic violations that are more likely to cause seriou s traffic crashes, this study divided the severityof traffic violations into th ree levels (i.e., slight, ordinary, severe) based on point deduction, and explor ethe patterns of serious traffic violations (i.e., ordinary, severe) using mult i-source data.”

Key words

Beijing/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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