期刊名称：International Journal of Advances in Engineering and Management
电子版ISSN：2395-5252
出版年度：2021
卷号：3
期号：3
页码：1039-1045
DOI：10.35629/5252-030311561160
语种：English
出版社：IJAEM JOURNAL
摘要：Roadway traffic safety is a major concern for transportation governing agencies as well as ordinary citizens. In order to give safe driving suggestions, careful analysis of roadway traffic data is critical to find out variables that are closely related to fatal accidents. Globalization has affected many countries. There has been a drastic increase in the economic activities and consumption level, leading to expansion of travel and transportation. The increase in the vehicles, traffic lead to road accidents. Considering the importance of the road safety, government is trying to identify the causes of road accidents to reduce the accidents level. The exponential increase in the accidents data is making it difficult to analyse the constraints causing the road accidents. We find associations among road accidents and predict the type of accidents for existing as well as for new roads. We make use of cluster algorithm rules to discover the patterns between road accidents and as well as predict road accidents. In this paper we apply statistics analysis and data mining algorithms on the FARS Fatal Accident datas et as an attempt to address this problem. The relationship between fatal rate and other attributes including collision manner, weather, surface condition, light condition, and drunk driver were investigated. Certain safety driving suggestions were made based on statistics and cluster obtained.
