Journal of Digital Convergence (디지털융복합연구)

  • 제16권10호
  • /
  • Pages.213-222
  • /
  • 2018
  • /
  • 2713-6434(pISSN)
  • /
  • 2713-6442(eISSN)
The Society of Digital Policy and Management (한국디지털정책학회)
권호 표지
DOI QR코드

DOI QR Code

A Study on the Driver's License Renewal and Return Policy through the Recognition of the Elderly's Driving Pattern

고령자의 운전패턴 인식을 통한 운전면허증 갱신 및 반납 정책에 대한 연구

  • 투고 : 2018.07.25
  • 심사 : 2018.10.20
  • 발행 : 2018.10.28
Download PDF
⟨ Previous Next ⟩

초록

This study was conducted to derive the traffic accident risk index through the recognition of the elderly driver's driving pattern to reduce the traffic accident rate of elderly drivers and to reflect them in the renewal and return policy of driver's license accordingly. First, the traffic accident risk index is defined by analyzing the behavioral characteristics of older drivers to derive the major factors that lead to traffic accidents. Second, we present a method to measure the traffic accident risk index from the driving pattern of the elderly through the smart-phone, the camera and the distance sensor attached to the car. Finally, we derive three thresholds by computer simulation and determine the accident risk from the measured traffic accident risk index as four steps and suggest ways to ensure safe driving of older drivers. It is required to objectively assess the driving ability of an aged driver in accordance with the proposed method, and to induce the driver to reset the driver's license renewal cycle and voluntarily return the driver's license to minimize social costs due to increased traffic accidents.

본 연구는 고령운전자의 교통사고율 감소를 위하여 고령자의 운전패턴 인식을 통해 교통사고위험지수를 도출하고 그에 따라 운전면허증의 갱신 및 반납 정책에 반영하고자 실시되었다. 먼저, 고령운전자의 행동특성을 분석하여 교통사고를 유발하는 주요요인을 도출하여 교통사고 위험지수를 정의한다. 둘째, 자동차에 부착된 카메라, 거리센서와 스마트폰을 통하여 고령자의 운전패턴으로부터 교통사고 위험지수를 측정하는 방법을 제시한다. 마지막으로 컴퓨터 시뮬레이션으로 3개의 문턱 값을 도출하여 측정된 교통사고 위험지수로부터 사고위험도를 4단계로 판별하고 고령 운전자의 안전운전을 보장하기 방안을 제시한다. 제안하는 방법에 따라 고령운전자의 운전능력을 객관적으로 평가하여 운전면허 갱신주기의 재설정 및 자진 반납을 유도함으로써, 고령운전자의 교통사고 증가로 인한 사회적 비용을 최소화하기 위한 운전면허증 관리정책 수립에 적극 활용 가능할 것이라 믿는다.

키워드

참고문헌

  1. J. H. Kim. (2018). Population Policy Outlook 2018. Health and welfare policy forum, 255(2018), 61-74.
  2. K. B. Kim. (2014). The Characteristics of Traffic Accidents and Reduction Methods by Elderly Drivers to Prepare for the Aging Society. Journal of the Korea Contents Korean Journal of Research in Gerontology Association, 14(7), 151-160.
  3. W. S. Ji & C. K. Lee. (2003). A Traffic Accident Prevention Countermeasures for Older Drivers: Focusing on Driver's License System. Journal of the Gyeonggi Research Institute, 12, 1-166.
  4. I. S. Kim. (2014). A Study on the Driving Characteristics of Senior Drivers. Korean Journal of Research in Gerontology, 23, 151-169.
  5. Y. S. Lim & J. W. Lee. (2012). A Reaction Research on the Visuospatial Ability and the Situation Awareness of Older Drivers in Driving. Journal of the Korean Gerontological Society, 32(4), 1087-1099.
  6. Y. S. Lim. (2012). A Research Related to the Information Processing Abilities and the Situation Awareness of Drivers in Driving - Using a Path Analysis. Journal of the Transport Research, 19(3), 47-61.
  7. Y. J. Lee & S. K. Lee. (2005). Developmental Changes in Highway Design for Older Drivers Research. Journal of the Korean Society of Civil Engineers, 25(3D), 409-421.
  8. S. O. Kim, I. J. Chang & C. K. Lee. (2009). Analysis of the Vulnerable Roadway Designs for Elderly Drivers and Its Improvement Schemes. Journal of the Korean ITS Society, 8(6), 163-173.
  9. Y. T. Lee, M. H. Kim & J. W. Son. (2009). April), Analysis of the Vulnerable Roadway Designs for Elderly Drivers and Its Improvement Schemes. Conference of the Korean Society Of Automotive Engineers, (pp. 982-173). Deagu.
  10. M. H. Kim & J. W. Son. (2008, April). Driving Behavior Analysis of Elderly Driver for Development of Elderly-Friendly Vehicle Safety. Conference of the Korean Society Of Automotive Engineers, (pp. 1721-1726). Busan.
  11. J. S. Oh, B. J. Ryu & W. Y. Lee. (2016). Major Factors Affecting Driving and Psychosocial Characteristics of Elderly Drivers. Journal of Transport Research, 23(4), 35-48.
  12. Y. S. Kim & G. H. Youn. (2014). Is it Appropriate to Limit the Validity of Older Driver's License for Commercial Use?. Korean Journal of Research in Gerontology, 23(2014), 195-218.
  13. O. S. Baek. (2015), Legal Analysis of driving restrictions on elderly drivers - Focused on the elderly drivers' license system. Journal of Chung-Ang Low Association, 17(4), 165-199.
  14. J. W. Park & J. W. Moon. (2012). Welfare and Transportation Policy of the Elderly in Advanced Countries and Implications - Focusing on the case of Japan. Seoul : http://www.dbpia.co.kr/Article/NODE02411781
  15. Kwan Choi & M. C. Kim. (2017). Australian Older Driver's Licence Management System Analysis and Lessons for the South Korean Accident Prevention Policies. Korean Journal of Research in Crime Psychology, 13(1), 255-276.
  16. C. H. Kim. (2017, August). A Study of Laws for Prevention of Traffic Accidents by Elderly Drivers. Conference of the Korea Public Land Law Association, (pp. 887-926). Seoul.
  17. S. W. Park et al. (2009). A Survey on the Actual Conditions and Driving Aptitude of the Elderly Motor Drivers. Seoul : National Rehabilitation Center Publishing.
  18. M. H. Kim. (2016, April). A Research on Precise Development of Driver Aptitude according to Elderly Person Driving Characteristics. Seoul : Traffic Safety Corporation Publishing.
  19. J. K. Hong. (2015). Threat Issues of Intelligent Transport System in the V2X Convergence Service Environment. Journal of the Korean Convergence Society, 6(5), 33-38.
  20. J. H. Lee & M. G. Cho. (2017). A Study on Emergency Medical Information Management Methods for Elderly Patients using QR code and Finger-print Recognition. Journal of Convergence for Information Technology, 7(6), 135-141. https://doi.org/10.22156/CS4SMB.2017.7.6.135