The Journal of the Institute of Internet, Broadcasting and Communication (한국인터넷방송통신학회논문지)

The Institute of Internet, Broadcasting and Communication (한국인터넷방송통신학회)
권호 표지
DOI QR코드

DOI QR Code

Traffic Safety System based on WEB

WEB 기반 교통안전 시스템

  • 박천관 (국립목포해양대학교 해양정보통신공학과) ;
  • 박현숙 (동아방송예술대학교, 방송기술과) ;
  • 홍유식 (상지대학교, 컴퓨터공학과)
  • Received : 2014.05.16
  • Accepted : 2014.06.13
  • Published : 2014.06.30
Download PDF
⟨ Previous Next ⟩

Abstract

These days the researches using IT technologies have been done to decrease the traffic accident. Especially, the optimal safety speed considering the weather conditions have to be calculated in real time to protect the traffic accident on the high way in the case of the rain and snow. In this paper, we have simulated the automatic warning broadcasting system for the freezing and foggy regions based on Web to protect the traffic accident. Also, we have developed the simulator that can provide the drivers with the optimal safety speed in real time to protect the traffic accident even under the worst weather conditions using the Fuzzy Reasoning rules.

요즈음 교통사고를 줄이기 위하여 IT 기술을 이용한 교통사고 연구가 많이 진행되고 있다. 특히, 고속도로에서 교통사고를 예방하기 위해서 눈이나 비가 올 경우에는, 날씨조건을 고려한 최적의 교통속도를 실시간으로 산출해야한다. 본 논문에서는 교통사고를 예방하기 위하여 결빙 구간 및 안개구간 자동 경고 안내 방송 시스템을 웹기반에서 모의실험 하였다. 뿐만 아니라, 퍼지 추론 규칙을 이용하여서, 최악의 날씨 조건에서도 교통사고를 예방 할 수 있도록, 운전자 에게 최적의 교통 안전속도를 실시간으로 운전자에게 알려 주는 모의실험을 개발하였다.

Keywords

References

  1. Speed limits by road, http://xado.tistory.com/1
  2. http://m.kia.com/kr/action.do?fw_appName=MB_KVWR&fw_serviceName=MbKnowMainFacade.selectNoteDetail&currPage=106&knowQnaOpiSn =386&cateCode=
  3. http://article.joins.com/article/article.asp/ total_id=2477676)
  4. www.koroad.or.kr/kp_web/knCarSafe1-03.do
  5. IF Akyildiz, W Su, Y Sankarasubramaniam, E Cayirci, ""A survey on Sensor networks,"" Communications Magazine, IEEE, Aug. 2002.
  6. Holger Karl, Andreas Willig, ""A short survey of wireless sensor networks," TKN Technical Report TCK-03-018, Oct. 2003.
  7. C.C. Lee, ""Fuzzy logic in control system: Fuzzy logic controller"", IEEE Trans. Syst, vol. 20, no. 2, pp.419-435, 1990
  8. Sung Kwon Oh, "Advanced Hybrid Fuzzy Inference Systems by Programming", pp.11-141, www.naeha.co.kr,2005
  9. K. C. Yoon, B. G. Park, S. K. Oh, S. H. Lee, "TheDesign of Fuzz-Neural Networks Using FCM Algorithms", The Proceeding of KIEE conference, pp.803-805, 2000.
  10. J. N. Choi, S. K. Oh, H. K. Kim, ""Genetic Optimization of Fuzzy C-Means-Based Fuzzy Neural Networks"", KIEE, Vol, 57, No. 3, pp. 466-472, 2008.3
  11. T. Nishimoto, Y. Arai, H. Nishida, K. Yoshimoto, "Development of High Performance Driver- Recorders for Measuring Accidents and Near Misses in the Real Automobile World," JSAE Review, Vol.22, pp.311-317, 2001. https://doi.org/10.1016/S0389-4304(01)00098-4
  12. T. Nishimoto, "Vehicle Crash Analysis Based on Own Data Recording," Int. J. Vehicle Design, Vol.32, No.1/2, pp.130-141, 2003. https://doi.org/10.1504/IJVD.2003.003241
  13. J. M. Lawrence, C. C. Wilkinson, B. E. Heinrichs, G. P. Siegmund, "The Accuracy of Pre-Crash Speed Captured by Event Data Recorders," SAE 2003-01-0889, 2003.
  14. R. Fay, R. Robinette, D. Deering, J. Scott, "Using Event Data Recorders in Collision Reconstruction," SAE 2002-01-0535, 2002.
  15. http://workspace.imperial.ac.uk/cts/Public/ Seminars/2009/sem20090610.pdf, TPEG.
  16. http://www.sts.tu-harburg.de/pw-and- m-theses/2006/goel06.pdf, implementation of a TPEG decoder.
  17. http://tech.ebu.ch/docs/other/TPEG-what-is-it.pdf, TPEG-what is it all about.