首页|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)
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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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.”
BeijingPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine Learning
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