论文标题
通过使用AI预防汽车事故
Prevent Car Accidents by Using AI
论文作者
论文摘要
随着社会发展，运输设施变得越来越发达，人们的旅行需求正在增加，但是产生的交通安全问题也是如此。汽车事故是世界各地的主要问题。交通死亡和驾驶员受伤的成本对社会产生了重大影响。机器学习技术在交通事故领域的使用变得越来越流行。使用机器学习分类器代替传统数据挖掘技术来产生更好的结果和准确性。结果，该项目对使用机器学习与事故预测有关的现有工作进行了研究。我们将使用崩溃数据和天气数据来训练机器学习模型，以预测崩溃的严重性并减少崩溃。
Transportation facilities are becoming more developed as society develops, and people's travel demand is increasing, but so are the traffic safety issues that arise as a result. And car accidents are a major issue all over the world. The cost of traffic fatalities and driver injuries has a significant impact on society. The use of machine learning techniques in the field of traffic accidents is becoming increasingly popular. Machine learning classifiers are used instead of traditional data mining techniques to produce better results and accuracy. As a result, this project conducts research on existing work related to accident prediction using machine learning. We will use crash data and weather data to train machine learning models to predict crash severity and reduce crashes.
