Analysis of children traffic accidents around school area using GIS and data mining techniques

Citations

SCOPUS

5

초록

The purpose of this study is to discover patterns and knowledge of traffic accidents in children to prevent traffic accidents. We analyze traffic accident data to reduce children traffic accidents. The past accident history data is visualized, and data mining is performed to find factors of frequent traffic accidents and the relationship between the factors. We identify frequent patterns of accidents, according to factors such as the danger zone of children’s accidents, dangerous time periods, types of dangerous vehicles, climate, and roads, and analyze the relationship of these factors. The patterns of the accidents are visualized so that the safety manager can easily recognize and use them for preventive management. We develop the rules that make a warning signal if there is a high probability of a traffic accident depending on various situations. The necessary information is also visualized on the map based on Geographical Information System (GIS) by region, road, and time for preventive safety management. © 2020 ICIC International.

키워드

Accident analysisCar accidentData miningGeographical information system
제목
Analysis of children traffic accidents around school area using GIS and data mining techniques
저자
Han, H.S.Lee, G.H.
DOI
10.24507/icicelb.11.10.961
발행일
2020-10
유형
Article
저널명
ICIC Express Letters, Part B: Applications
11
10
페이지
161 ~ 167