Journal of the Korea Society of Computer and Information (한국컴퓨터정보학회논문지)

Korean Society of Computer Information (한국컴퓨터정보학회)
권호 표지
DOI QR코드

DOI QR Code

Real-time Dangerous Driving Behavior Analysis Utilizing the Digital Tachograph and Smartphone

  • Received : 2015.10.14
  • Accepted : 2015.11.23
  • Published : 2015.12.30
Download PDF
⟨ Previous Next ⟩

Abstract

In this paper, we propose the assistance method to enable safe driving through analysis of dangerous driving behavior using real-time alarm by vehicle speed, azimuth data and smartphone. For this method, smartphone is receiving driving data from digital tachograph using communication. Safe driving habit is a very important issue to commercial vehicle because that driver's long time driving than other vehicle type driver. Existing methods are very inefficient to improve immediately dangerous driving habits during driving because proceed driving behavior analysis after the vehicle operation. We propose the new safe driving assistance method that can prevent traffic accidents by real-time and improve the driver's wrong driving habits through real-time dangerous driving behavior analysis and notification the result to the driver. We have confirmed that the method in this paper will help to improve driving habits and can be applied through the proposed method implementation and simulation experiment.

Keywords

References

  1. Global Status Report On Road Safety 2013: supporting a decade of action. World Health Organization 2013
  2. Masahiro MIYAJI, Mikio DANNO and Koji OGURI, "Analysis of Driver Behavior Based on Traffic Incidents for Driver Monitor Systems," Intelligent Vehicles Symposium, 2008 IEEE, pp. 930-935, June 2008.
  3. Frederic Holzmann, Sascha Kolski, Armin Sulzmann, Gernot Spiegelberg, Roland Siegwart and Heiner Bubb, "Improvement of the driving safety using a virtual driver," Proc. of Intelligent Transport Systems Conference (ITSC) 2005.
  4. CHAO-JUNG CHEN, HSIN-YUAN PENG, BING-FEI WU AND YING-HAN CHEN, "A Real-Time Driving Assistance and Surveillance System," JOURNAL OF INFORMATION SCIENCE AND ENGINEERING 25, pp. 1501-1523, 2009.
  5. Road Safety Annual Report 2014, OECD, ITF, October 2014.
  6. Korea Road Traffic Authority(KoROAD), "2014(2012) OECD Members Traffic Accident Comparison Report," December 2014.
  7. Korea Road Traffic Authority(KoROAD), "2013(2012) Traffic Accident Analysis Report," October 2013.
  8. Igor Furgel and Kerstin Lemke, "A Review of the Digital Tachograph System," Embedded Security in Cars, Springer-Verlag, pp. 69-94, 2006.
  9. Enforcement Decree of the Traffic Safety Act [Enforcement Date 23. March, 2013]
  10. Claudio Rosito Jung and Christian Roberto Kelb, "A Lane Departure Warning System Based on a Linear-Parabolic Lane Model," 2004 IEEE Intelligent Vehicles Symposium, June 2004.
  11. Adnan Shaout, Dominic Colella and S. Awad, "Advanced Driver Assistance Systems- Past, Present and Future," Computer Engineering Conference (ICENCO), 2011 Seventh International, pp. 72-82, December 2011.
  12. J. Pohl, M. Sethsson, P. Degerman and J. Larsson, "A semi-automated parallel parking system for passenger cars," Proceedings of the Institution of Mechanical Engineers, pp. 53-65, January 2006.
  13. Sudhir kumar Singh W and Philomina S, "ADVANCED DRIVER ASSISTANCE SYSTEMS FOR AUTOMOBILES USING WPAN," Unique Journal of Engineering and Advanced Sciences, pp. 108-111, April-June 2014.
  14. Saravanan Kannan, Arunkumar Thangavelu and RameshBabu Kalivaradhan, "An Intelligent Driver Assistance System (I-DAS) for Vehicle Safety Modelling using Ontology Approach," International Journal Of UbiComp (IJU), Vol.1, No.3, pp. 15-29, July 2010. https://doi.org/10.5121/iju.2010.1302
  15. Thomas Wurtz, "Integrating the Digital Tachograph with Telematics for the new European Standard," Master of Science Thesis, Stockholm, Sweden, 2007.
  16. Joon-Gyu Kang, Yoo-Won Kim, Ung-Taeg Lim and Moon-Seog Jun, "Digital Tachograph Vehicle Data Digital Authentication System," Journal of The Korea Society of Computer and Information, Vol. 18, No. 6, pp. 48-49, June 2013.
  17. eTAS, Korea Transportation Safety Authority, http://etas.ts2020.kr
  18. Nidhi Kalra and Divya Bansal, "Analyzing Driver Behavior using Smartphone Sensors: A Survey," International Journal of Electronic and Electrical Engineering, Vol. 7, No. 7, pp. 697-702, 2014.
  19. Nidhi Kalra, Gunjan Chugh and Divya Bansal, "Analyzing Driving and Road Events via Smartphone," International Journal of Computer Applications, Vol. 98, No. 12, pp. 5-9, July 2014. https://doi.org/10.5120/17233-7561
  20. Derick A. Johnson and Mohan M. Trivedi," Driving Style Recognition Using a Smartphone as a Sensor Platform," 2011 14th International IEEE Conference on Intelligent Transportation Systems, pp. 1609-1615, October 2011.
  21. Rui Araujo, Angela Igreja, Ricardo de Castro and Rui Esteves Araujo, "Driving Coach: a Smartphone Application to Evaluate Driving Efficient Patterns," 2012 Intelligent Vehicles Symposium, pp. 1005-1010, June 2012.
  22. Vehicle Data Analysis System User's Guide (etas.ts2020.kr), Korea Transportation Safety Authority, pp. 22, 2014.
  23. Rules about the Road Structure & Facilities Standards[Ministry of Land, Infrastructure and Transport No. 111]
  24. Da-Ni Joo, Sang-Chan Moon, Min-Woo Kim, Byoung-Soo Kim, Kyu-Min Nam and Soon-Geul Lee, "Characteristic Classification for Lane Change Condition Using Vehicle - Based on Velocity and Change Angle," 2013 KSAE Integrated Conference, pp. 934-939, May 2013.
  25. Ministry of Land, Infrastructure and Transport Notice No. 2010-667, September 2010.

Cited by

  1. 사업용차량 센서 자료를 이용한 도로안전정보 콘텐츠 개발 : 교통시뮬레이션 자료 분석을 중심으로 vol.19, pp.2, 2015, https://doi.org/10.12815/kits.2020.19.2.74