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首页> 外文期刊>Network Daily News >Goiano Federal Institute Researchers Have Published New Study Findings on Traffic and Safety Science (Influence of segment length on the fitness of multivariate crash prediction models applied to a Brazilian multilane highway)
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Goiano Federal Institute Researchers Have Published New Study Findings on Traffic and Safety Science (Influence of segment length on the fitness of multivariate crash prediction models applied to a Brazilian multilane highway)

机译:Goiano联邦理工学院的研究人员新研究发现流量和出版安全科学(区段长度的影响多元的健身崩溃的预测模型应用于巴西多车道高速公路)

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摘要

By a News Reporter-Staff News Editor at Network Daily News – Fresh data on traffic and safety science are presented in a new report. According to news reporting from Rio Verde, Brazil, by NewsRx journalists, research stated, “Road safety modeling enables the development of crash prediction models and the investigation of which factors contribute to crash occurrence. Developing multivariate response models is also valuable, but such models are currently under-exploited. Machine learning techniques, especially artificial neural networks (ANN), have been presented as possible alternatives.”
机译:由一个新闻记者在网络新闻编辑每日新闻——新鲜的交通数据和安全科学提出了一个新的报告。新闻报道从里约热内卢佛得角、巴西NewsRx记者,研究指出,“道路安全建模的发展使崩溃预测模型和调查导致事故发生的因素。也是发展多元响应模型目前有价值的,但这样的模型开发。特别是人工神经网络(ANN)被视为可能的选择。”

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