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

  • 제22권8호
  • /
  • Pages.33-39
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  • 2017
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  • 1598-849X(pISSN)
  • /
  • 2383-9945(eISSN)
한국컴퓨터정보학회 (Korean Society of Computer Information)
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Real-Time Safety Driving Assistance System Based on a Smartphone

  • 투고 : 2017.07.11
  • 심사 : 2017.08.09
  • 발행 : 2017.08.31
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초록

In this paper, we propose a method which implements warning to drivers through real-time analysis of risky and unexpected driver and vehicle behavior using only a smartphone without using data from digital tachograph and vehicle internal sensors. We performed the evaluation of our system that demonstrates the effectiveness and usefulness of our method for risky and unexpected driver and vehicle behavior using three information such as vehicle speed, azimuth and GPS data which are acquired from a smartphone sensors. We confirmed the results and developed the smartphone application for validate and conducted simulation using actual driving data. This novel functionality of the smartphone application enhances drivers' situational awareness, increasing safety and effectiveness of driving.

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참고문헌

  1. Statistics Korea, "Motor Vehicles Registration", Retrieved from http://www.index.go.kr/potal/main/EachDtlPageDetail.do?idx_cd=1257
  2. Global Status Report On Road Safety 2013: supporting a decade of action. Geneva, World Health Organization, 2013
  3. OECD/ITF (2015), Road Safety Annual Report 2015, OECD Publishing, Paris. http://dx.doi.org/10.1787/irtad- 2015-en
  4. Joon-Gyu Kang, Yoo-Won Kim and Moon-Seog Jun ,"Real-time Dangerous Driving Behavior Analysis Utilizing the Digital Tachograph and Smartphone," Journal of The Korea Society of Computer and Information, Vol. 20 No. 12, pp. 37-44, December 2015
  5. 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, September 2009.
  6. 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.
  7. 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.
  8. 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, January 2014.
  9. 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.
  10. Pushpendra Singh, Nikita Juneja and Shruti Kapoor, "Using Mobile Phone Sensors to Detect Driving Behavior," Proceedings of the 3rd ACM Symposium on Computing for Development, 2013
  11. Nidhi Kalra, Gunjan Chugh and Divya Bansal, "Analyzing Driving and Road Events via Smartphone," International Journal of Computer Applications, Vol. 98, No.12, July 2014
  12. Jiangpeng Dai, Jin Teng, Xiaole Bai, Zhaohui Shen and Dong Xuan, "Mobile phone based drunk driving detection," Pervasive Computing Technologies for Healthcare (PervasiveHealth), 2010 4th International Conference on-NO PERMISSIONS, pp. 1-8, 2010.
  13. Thomas Wurtz, "Integrating the Digital Tachograph with Telematics for the new European Standard," Master of Science Thesis, Stockholm, Sweden, 2007.
  14. 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.
  15. 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.
  16. Vehicle Data Analysis System User's Guide (etas.ts2020.kr), Korea Transportation Safety Authority, pp. 5, 2016.