Clustering Analysis of Traffic Accident in Semarang City

E3S Web of Conferences

Purwanggono Bambang¹  Budiawan Wiwik¹ 

[1] Department of Industrial Engineering, Diponegoro University;

关键词: clustering analysis;    traffic accident;    data mining;   

DOI  :  10.1051/e3sconf/20187312001

来源: DOAJ

【 摘 要 】

Traffic accidents are one of the global issues that require serious handling. Accidents occur in different places with different incidents, which makes it difficult to determine which areas have a high degree of traffic accidents. Information about areas prone to accidents is needed by the community and law enforcement. Such information can be taken into consideration for the supervision and anticipation action especially for the police. In this study made a cluster to analyze the areas prone to accidents in the city of Semarang. The method used is cluster analysis where the grouping to determine the vulnerability of an area. The result of the research stated that the level of traffic accident vulnerability is mostly happened in Semarang - Semarang regency passing through Semarang regency. In addition, the level of vulnerability in the city of Semarang occurred on weekdays. From the validation results that have been made, the suitability of the hazardous modeling area that has been formed is: Occurs more likely on weekdays (Monday, Thursday, Friday and Sunday); At an average Kilometer of 19.75-Direction B; During Afternoon and Evening; Small and Large Vehicle Types; Cloudy, Drizzle and Rain.

【 授权许可】

Unknown