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Title: Current Status of Research Project : Assessment Technology of Advanced

33rd APEC Transportation Working Group Tokyo, Japan October 10-14 2010. Title: Current Status of Research Project : Assessment Technology of Advanced Safety Vehicle in Korea Presenter’s Name: Economy: Republic of KOREA. Table of Contents. Overview

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Title: Current Status of Research Project : Assessment Technology of Advanced

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  1. 33rd APEC Transportation Working Group Tokyo, Japan October 10-14 2010 Title: Current Status of Research Project : Assessment Technology of Advanced Safety Vehicle in Korea Presenter’s Name: Economy: Republic of KOREA

  2. Table of Contents • Overview • Analysis of Accidents • Vision and Goal • Roadmap • Research Activities • Conclusions

  3. ASV Project • Backgrounds • Demand for advanced safety vehicle to reduce accident casualties • Application of information technology to develop advanced safety vehicle • Development of safety assessment technology: Verify new technology, eliminate unwanted effects, rapid commercialization • Active participation in UN/ECE/WP.29 legislative activities

  4. 14,000 1,400,000 Enforcement, education 12,000 1,200,000 Safety belt, airbag 10,000 1,000,000 8,000 800,000 Fatalities Injured Fatalities 6,000 600,000 Injured(Police) Injured(Insurance) 4,000 400,000 2,000 200,000 • New technology for drastic of casualties 0 0 '90 '91 '92 '93 '94 '95 '96 '97 '98 '99 '00 '01 '02 '03 '04 '05 '06 YEAR Characteristics of Traffic Accidents(1) • Trend of Accident Casualties • Slowdown of decreasing trend of fatalities(07): 6,166, Due to limitation of • enforcement and education • Sudden Increase in Injuries(07): Police(340 thousand), Insurance Co.(1.2 million)

  5. Characteristics of Traffic Accidents(2) Number of Accidents by Collision Type(Police, 2007) EU 15* Number of Accidents by Collision Type Number of Fatalitiesby Collision Type EU 15* Number of Fatalities by Collision Type

  6. Characteristics of Traffic Accidents(3) • Trend of Fatalities • Fleet change(Increase in SUV/RV): Small car to SUV/RV ratio • 0.08(late 1990’)⇒ 0.68(mid 2000’) • Fatalities from collision(07): Frontal(534), rearend(729), lateral(1,039) • Pedestrian fatalities(07): 37%(2,232) • Fatalities in night time: daytime(2,567) < nighttime(3,300) • Fatalities DUI: 991 • Point of death(06): At scene(1,488), under treatment(2,443) • Compatibility issue • Prevention of pedestrian, nighttime, DUI accidents, efficient emergency Fatalities wrt V-to-V accidents ※ DUI: Driving under Influence

  7. Vision, Goal and Subjects Vision Development of Assessment Technology of Advanced Safety Vehicle Contributing to “Reducing Traffic Casualties by Half” 1. Develop advanced safety vehicle technology 2. Strengthen safety regulations by developing assessment technology of advanced safety vehicle 3. Establish regulatory system to promote & commercialize advanced safety vehicle Goal 1. Project management, commercialization strategy & study on regulatory system 2. Develop assessment technology for active safety & driver assistance technology 3. Develop assessment technology for integrated safety technology with IT Subjects

  8. ASV Project: Road Map & Budget • Institute: KATRI, HMC, SNU, etc. • Period: Dec., 2009 ~ Oct., 2016(7 yr10 m) • Budget: 23,400 mWon(Gov-grant) (about 20 m$) Over- view Assessment Technology of Advanced Safety Vehicle Goal (1st Stage) (2nd Stage) (3rd Stage) 2009 2012 2014 2017 Vehicle compatibility Mitigate Casualties Aggressiveness of SUV Active hood and bumper Speed-sensitive active head restraint Injury criteriaD/B(1) Injury criteriaD/B(2) Rollover accidents Improve Active Safety Technology ACC/AEBS Commercial vehicle ACC AEBS LDWS LKS • Human factor for active safety Blind spot • Detect pedestrian • in nighttime AFLS Safety integrated with IT Emergency Rescue V2X LED communication Intersection based on V2I communication • Stability of integrated EMC V2X control system End of 1st year

  9. 1st Stage Vehicle Compatibility Car to Car Crash Tests FE Model Simulations

  10. Active Head Restraint Speed-sensitive Active Headrest Rear Detect Radar Signal sensor ECU Test, Simulation and Develop. Algorism FV2 FV1 SV

  11. ACC & AEBS AEBS: Automatic Emergency Braking System Development of AEBS Warning (Alarn, Buzzer) Camera Cluster/Speaker Main Brake Controller Radar Sensor Brake ECU controller Sub Brake (Exhaust,TM) Forward Vehicle Engine/TM ECU Protocol Development (SAE J1939 CAN Com.) Front Detection (Radar & Camera Data Com.) ECU Algorism & H/W Development

  12. LDWS / Blind Spot Detection LDWS: Lane Departure Warning System Speed-sensitive Active Headrest

  13. AFLS AFLS: Adaptive Frontal Lamp System Development of AFLS Lab. Test Method Installation Screen Measurement Lamp on Forward Visibility Target Move 50 m 70 m

  14. e-Post e-Post: emergency rescue call Event Data (EDR) Passenger Status

  15. Applications • Development Technologies • Commercialization and facilitation of compatibility technology, active head-restraint, commercial vehicle AEBS, etc. • Add new technology in NCAP • Major contribution to national agenda “Reducing traffic casualties by half” • Assessment Technologies • Apply assessment technology to verify emerging technology • Reflect assessment technology to global technical regulations and ECE regulations in WP.29 • Vehicle compatibility, LDWS, AEBS • Develop safety regulations and test procedures • AFLS (highway mode).LDWS, AEBS, blind-detection system

  16. Expected Outcome • Technological Aspects • Verify emerging technology and eliminate unwanted effect by developing assessment technology • Reflect results to domestic and international safety regulations(WP.29 ECE R & GTR) • Reduce traffic accidents • Lead world vehicle market by improved technology • Socio-economic Aspects • Contribute to new traffic system with assessment technology and safety regulations • Improve national status in traffic accident by drastic decrease • AEBS(18%), LDWS(12%) • Contribute to reduce CO2 by improving traffic congestions due to decrease in accidents

  17. Thank you for your attention (Q & A) Acknowledgement This research was supported by a grant (09-Transport System-Furture-01) from Transportation System Innovation Program funded by MLTM

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