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자동차 사고유형 분석을 위한 데이터베이스 시스템에서 통합적 공공 빅데이터의 활용

Utilizing Integrated Public Big Data in the Database System for Analyzing Vehicle Accidents

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주제분류컴퓨터학

초록

In this paper, we propose to design and implement the database management system for analyzing vehicle accidents through utilizing integration of the public big data. And the paper aims to provide valuable information for recognizing seriousness of the vehicle accidents and various circumstances at the accident time, and to utilize the produced information for the insurance company policies as well as government policies. For analysis of the vehicle accidents the system utilizes the integrated big data of National Indicator System, the Meteorological Office, National Statistical Office, Korea Insurance Development Institute, Road Traffic Authority, Ministry of Land, Infrastructure and Transport as well as the National Police Agency, which differentiates this system from the previous systems. The system consists of data at the accident time including weather conditions, vehicle models, age, sex, insurance amount etc., by which the database system users are able to obtain the integral information about vehicle accidents. The result shows that the vehicle accidents occur more frequently in the clear weather conditions, in the vehicle to vehicle conditions and in crosswalk & crossway. Also, it shows that the accidents in the cloudy weather leads more seriously to injury and death than in the clear weather. As well, the vehicle accident information produced by the system can be utilized to effectively prevent drivers from dangerous accidents.

Abstract

In this paper, we propose to design and implement the database management system for analyzing vehicle accidents through utilizing integration of the public big data. And the paper aims to provide valuable information for recognizing seriousness of the vehicle accidents and various circumstances at the accident time, and to utilize the produced information for the insurance company policies as well as government policies. For analysis of the vehicle accidents the system utilizes the integrated big data of National Indicator System, the Meteorological Office, National Statistical Office, Korea Insurance Development Institute, Road Traffic Authority, Ministry of Land, Infrastructure and Transport as well as the National Police Agency, which differentiates this system from the previous systems. The system consists of data at the accident time including weather conditions, vehicle models, age, sex, insurance amount etc., by which the database system users are able to obtain the integral information about vehicle accidents. The result shows that the vehicle accidents occur more frequently in the clear weather conditions, in the vehicle to vehicle conditions and in crosswalk & crossway. Also, it shows that the accidents in the cloudy weather leads more seriously to injury and death than in the clear weather. As well, the vehicle accident information produced by the system can be utilized to effectively prevent drivers from dangerous accidents.

참고문헌 (22)

  1. Avi Silberschatz, "Database System Concepts" (2010), McGraw-Hill
  2. David Kroenke, "Database Concepts" (2015), Pearson
  3. Prabhanjan N. Tattar, "A Course in Statistics with R" (2016), Willey
  4. "National Index System"[URL]
  5. "National Index System"[URL]
  6. "TAAS (Traffic Accident Analysis System)"[URL]
  7. "MOLIT (Ministry of Land, Infrastructure, and Transport)"[URL]
  8. "National Police Agency"[URL]
  9. "KMA (Korea Meteorological Administration)"[URL]
  10. "KOSIS (Korean Statistical Information Service)"[URL]
  11. "Korea Insurance Development Institute"[URL]
  12. "Yoon Seung Min" (2015)[URL]
  13. "In October the car accident happens more than the other times because of vehicles heading for holiday destinations" (2012)[URL]
  14. "Korea Transport Institute"[URL]
  15. Jinhwa Yoo, "Cause Analysis and Safety Measures for Passenger Vehicle Accidents in Summer", Journal of the Korea Transportation Industrial Research Institute (2014)
  16. Cause Analysis and Safety Measures for Senior Vehicle Accidents, "Ministry of Land, Transport and Maritime Affairs", Ministry of Land, Transport and Maritime Affairs, ~ (2011)
  17. Yongjun Lee, "A Study of Characteristics Analysis of Vehicle Accidents in Chungcheong Region", Journal of Korean Society of Civil Engineering (2014)
  18. A Study of Implementation of the Factor Descrimination Model for Vehicle Accidents, "Insik Hwang", Gyeongnam Development Institute, ~ (2004)
  19. 김봉기, "교통사고 유형별 발생 유무별 영향요인 판별 및 분류모형 구축에 관한 연구", 경찰학연구, 11(2), pp.171~206 (2011), 경찰대학
  20. 김용환, "텍스트마이닝 및 PLS 회귀를 사용한 모바일 커머스 성공 요인 분석", 한국컴퓨터정보학회논문지, 21(11), pp.127~134 (2016), 한국컴퓨터정보학회
  21. 이포상, "기술정보도입에 따른 주식시장반응과 연구개발집약도에 대한 실증연구", 한국컴퓨터정보학회논문지, 21(11), pp.151~158 (2016), 한국컴퓨터정보학회
  22. 김현희, "토픽 네트워크 분석을 활용한 데이터 마이닝 연구 동향 분석", 한국컴퓨터정보학회논문지, 21(5), pp.141~148 (2016), 한국컴퓨터정보학회

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