论文标题
美国马里兰州的交通违规行为的数据可视化
Data Visualization of Traffic Violations in Maryland, U.S
论文作者
论文摘要
如今,汽车的使用变得如此普遍和不可避免,以至于有了很高的近似值,可以说每个家庭至少有一辆汽车。这导致事故发生,随后发生了道路伤害。每年约有120万人死于道路伤害,有20至5000万人死于非致命伤害。考虑到交通违规已成为全球问题,对这个问题的调查至关重要。在那里,使用R和Python(仅马里兰州犯罪)分析了蒙哥马利县政府出版的数据集。死亡人数最多的是年轻人,这表明在生命的第三个十年中,交通事故受伤的增加,结果观察到了不同年龄的受害者。还提取了影响道路交通造成的伤害的因素。这对于提供减少交通违规行为的程序可能很有用。
Nowadays, car use has become so common and inevitable that with a high approximation, it can be said that every family has at least one car. This has caused an increase in accidents and, subsequently, road injuries. About 1.2 million people die from road injuries yearly, and 20 to 50 million live with non-fatal injuries. Investigation of this issue is essential, considering that traffic violations have become a global concern. There, a dataset published by the Montgomery County government was analyzed using R and Python, only Maryland crimes. The highest number of deaths is in young men, which shows an increase in traffic accident injuries in the third decade of life, and a reduction of victims of different ages was observed as a result. Factors affecting the occurrence of injuries caused by road traffic were also extracted. This can be useful in providing programs to reduce traffic violations.