Data Analytics: Factors of Traffic Accidents in the UK

被引:0
|
作者
Haynes, Steven [1 ]
Estin, Prudencia Charles [1 ]
Lazarevski, Sanela [1 ]
Soosay, Mekala [1 ]
Kor, Ah-Lian [1 ]
机构
[1] Leeds Beckett Univ, Sch Comp Creat Technol & Engn, Leeds LS6 3QS, W Yorkshire, England
关键词
data analytics; machine learning; traffic accidents;
D O I
10.1109/dessert.2019.8770021
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The traffic and accident datasets for this research are sourced by Data.gov.uk. The data analytics in this paper comprises three levels namely: descriptive statistical analysis; inferential statistical analysis; machine learning. The aim of the data analytics is to explore the factors that could have impact on the number of accidents and their associated fatalities. Some of the factors investigated on are: time of the day, day of the week, month of the year, speed limits, etc. Machine learning approaches have also been employed to predict the types of accident severity.
引用
收藏
页码:120 / 126
页数:7
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