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A Study on Evaluation Method of AEB Pedestrian Test

보행자 AEB 시험평가 방법에 관한 연구

  • 김봉주 (계명대학교 기계공학과) ;
  • 권병헌 (계명대학교 기계공학과) ;
  • 이선봉 (계명대학교 기계자동차공학부)
  • Received : 2018.08.31
  • Accepted : 2018.12.11
  • Published : 2018.12.31

Abstract

Due to the rapid increase in the number of vehicles, the physical and human losses caused by traffic accidents have become serious social problems. In the global trend, there have been active studies conducted on improving safety level of automobile in order to reduce the number of automobile accident. As a result of such research, traffic accidents continue to decline. In the case of South Korea, however, rate of death by automobile accident is 8.5 per 10,000 people and it is a seven rank among the countries in OECD (Organization for Economic Cooperation and Development). This average rate is almost double compared to average automobile accident rate per 10,000 vehicles, of other OECD countries in 2015. Consequently, many studies and policies currently have been conducted and made for increasing safety of pedestrians; however, they are only emphasizing characteristics of pedestrians and drivers. For this reason, this study suggests scenarios for establishment of test standard corresponding with domestic environment and international standard of AEB (Autonomous Emergency Braking) and conducts a real car test by scenarios by setting up a goal with a function for remaining distance after braking and then examine equation by comparing real car tests results and outcome after calculation. This is a theoretical method to predict a relative remaining distance after AEB prior to conducting a real car test for evaluation of safeness of automobile with AEB and it is expected that it solves problem of complication of real car test.

Keywords

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Fig. 1 Euro NCAP scenarios (AEB Pedestrian)

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Fig. 2 Euro NCAP scenarios (AEB Bicyclist)

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Fig. 3 Test method & test condition

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Fig. 4 The Impact point of the pedestrian

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Fig. 5 Scenario

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Fig. 6 Test real-road

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Fig. 7 Test vehicle (B社 520d)

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Fig. 8 Test measuring device

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Fig. 9 Scenario 1

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Fig. 10 Scenario 2

Table 1 Euro NCAP condition (AEB Pedestrian)

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Table 2 Euro NCAP condition (AEB Bicyclist)

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Table 3 Scenario 1 test condition

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Table 4 Scenario 2 test condition

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Table 5 Scenario 3 test condition

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Table 6 Scenario 4 test condition

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Table 7 Theory result

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Table 8 Environmental conditions

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Table 9 DAQ spec.

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Table 10 V-box spec.

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Table 11 Scenario 1, 2 error factor

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