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AEB의 V2V 안전성 평가 방법에 관한 연구

A Study on the V2V Safety Evaluation Method of AEB

  • 권병헌 (계명대학교 기계공학과) ;
  • 이선봉 (계명대학교 기계자동차공학과)
  • 투고 : 2018.09.02
  • 심사 : 2019.03.09
  • 발행 : 2019.03.31

초록

There are trying to reduce damage from automobile accident in many countries. In many automobile companies, there have been active study on development of ADAS (Advanced Driver Assistance Systems) for commercialization, in order to reduce damage from automobile accident. ADAS is the system providing convenience and safeness for drivers. Generally, ADAS is composed of ACC (Adaptive Cruise Control), LKAS (Lane Keeping Assist System), and AEB (Autonomous Emergency Braking). AEB of the ADAS, it is an autonomous emergency braking system and it senses potential collide and avoids or degrades it. Therefore AEB plays a significant role in reducing automobile accident rate. However, AEB safety evaluation method is not established not yet. For this reason, this study suggests safety evaluation scenarios with adding cut-in, sensor malfunctioning scenario that scenario domestic street conditions considered as well as original standard AEB scenario of Euro NCAP for establishment of safety evaluation method of AEB. And verifying validity of suggested scenario by comparing the calculated values of the theoretical formulas presented in the previous study with results of the actual vehicle test.

키워드

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Fig. 1 Euro NCAP AEB scenario (V2V)

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Fig. 2 Summary by AEB (V2V) scenario factor

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Fig. 3 AEB scenario (V2V)

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Fig. 4 EQ900 used for AEB safety test evaluation

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Fig. 5 Vehicle-road connection test intersection

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Fig. 6 Scenario 1-1 (30 km/h)

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Fig. 7 Scenario 1-1 (40 km/h)

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Fig. 8 Scenario 1-1 (50 km/h)

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Fig. 9 Scenario 1-2 (30 km/h)

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Fig. 10 Scenario 1-2 (40 km/h)

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Fig. 11 Scenario 1-2 (50 km/h)

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Fig. 12 Scenario 2-1 (30 km/h)

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Fig. 13 Scenario 2-1 (40 km/h)

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Fig. 16 Scenario 5-2 (30 km/h)

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Fig. 14 Scenario 5-1 (30 km/h)

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Fig. 15 Scenario 5-1 (40 km/h)

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Fig. 17 Scenario 5-2 (40 km/h)

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Fig. 18 Scenario 6 (40 km/h)

Table 1 CCRs scenario condition (km/h)

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Table 2 CCRm scenario condition (km/h)

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Table 3 CCRb scenario condition

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Table 4 Scenario 1-1, 1-2 test condition

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Table 5 Scenario 2-1, 2-2 test condition

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Table 6 Scenario 3-1, 3-2 test condition

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Table 7 Scenario 4-1, 4-2 test condition

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Table 8 Scenario 5-1, 5-2 test condition

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Table 9 Scenario 6 test condition

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Table 10 VBOX 3i spec.

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Table 11 DEWE-2601 spec.

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Table 12 Euro NCAP EVT spec.

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Table 13 Scenario maximum deceleration

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Table 14 Scenario 1-1 error factor

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Table 15 Scenario 1-2 error factor

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Table 16 Scenario 2-1 error factor

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참고문헌

  1. B. J. Kim and S. B. Lee, 2017, "A Study on Evaluation Method of the Adaptive Cruise Control", Journal of Drive and Control, Vol. 14, No. 3, pp. 8-17. https://doi.org/10.7839/KSFC.2017.14.3.008
  2. S. H. Park and M. J. Kim, 2017, "A Study on the Development of Sensor Convergence Interface Technology for AEBS Interaction for Commercial Vehicle", Journal of Korean Institute of Communications and Information Sciences 2017 Autumn Conference, pp. 11-12.
  3. N.H. Kim, J. K. Lee, M. W. Soh, J. J. Kwon, T. W. Hong and K. H. Park, 2013, "Improvement of Longitudinal Safety System's Performance on Near Cut-in Situation by Using the V2V", Journal of The Korean Society Of Automotive Engineers, pp. 747-755.
  4. J. H. Lee and W. S. Na, 2017, "Improved automatic emergency braking system using TTC estimator", 2017 Summer Conference commemorating the 70th anniversary of the Korean Institute of Electrical Engineers, pp. 1438-1439.
  5. M. Y. Park and J. I. Jung, 2017, "An Equivalent Driving Model of Automatic Emergency Braking System and Lane Keeping Support System Using Experimental Vehicle Experiment", Kookmin University Graduate School of Mechanical Design.
  6. H. I. Jang, S. W. Jo and B. J. Yong, 2013, "Safety evaluation method of automatic emergency braking system", Journal of The Korean Society of Automotive Engineers, Vol. 21, No. 5, pp. 162-168. https://doi.org/10.7467/KSAE.2013.21.5.162
  7. B. J. Pyun and G. S. Heo, 2015, "A Study on Emergency Automatic Brake System Considering Driving Environment", Hanyang University Graduate School of Automobile Engineering.
  8. D. R. Ahn, S. G. Shin, J. O. Lee, and H. G. Lee, 2016, "Object Identification Strategy using Dempster-Shafer Theory in Pedestrian AEB System", Journal of The Korean Society of Automotive Engineers 2016 Autumn Conference, pp. 1285-1290.
  9. Y. G. Park and J. I. Jung, 2017, "Methodology for Safety Assessment of Interruption Situation of Emergency Brake System", Kookmin University Graduate School of Mechanical Design.
  10. J. G. Lee, 2013, "A Study on the Integrated Control between and CDC for Improving performance of Longitudinal Collision Avoidance", Kookmin University Graduate School of Automotive Engineering Major of Human Intelligent Vehicle.
  11. T. W. Kang, W. G. Yoo, N. H. Kim, M. W. Soh, J. J. Kwon, T. W. Hong and K. H. Park, 2014, "A Study on the Brake Time for AEB system Considering Road Condition", Journal of The Korean Society of Automotive Engineers 2016 Autumn Conference, pp. 737-744.
  12. ASSESS, 2010, "ASSESSMENT of Integrated Vehicle Safety Systems for improved vehicle safety", ASSESS.
  13. Euro NCAP, 2017, "Test Protocol-AEB systems", Euro NCAP.
  14. B. J. Kim and S. B. Lee, 2018, "A Study on AEB Test Evaluation Method", Journal of Korean Auto-Vehicle Safety Association, Vol. 10, No. 2, pp. 20-28.

피인용 문헌

  1. 국내 도로환경과 Euro NCAP VRU Test Protocol v3.0.1을 고려한 AEB(V2P) 시험평가 방법에 관한 연구 vol.11, pp.4, 2019, https://doi.org/10.22680/kasa2019.11.4.028