相关实验视频

Updated: Sep 13, 2025

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation
11:41

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation

Published on: February 1, 2020

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基于人工智能的交通事故严重性的预测,以提高道路安全和运输效率

Ayman Mohamed Mostafa1,2, Bader Aldughayfiq3, Mayada Tarek4,5

  • 1Information Systems Department, College of Computer and Information Sciences, Jouf University, 72388, Sakaka, Saudi Arabia. amhassane@ju.edu.sa.

Scientific reports
|July 29, 2025
PubMed
概括

这项研究开发了一个人工智能机器学习框架,使用超过226万条记录来预测交通事故的严重程度. 额外树木模型实现了96.19%的准确性,提高了道路安全和事故预防策略.

关键词:
阶级不平衡造成的不平衡功能工程的特点工程.功能选择 功能选择模型 ML 模型 ML过量采样过度采样交通事故预测 交通事故预测

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