Journal of Korean Society of Transportation (대한교통학회지)

Korean Society of Transportation (대한교통학회)
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Research on Domestic Driving Pattern for International Standardization of Light-duty Vehicles Emission Test Method

소형차 배출가스 시험방법 국제 표준화를 위한 국내 주행패턴 연구

  • Choi, Kee-Choo (Division of Environmental, Civil and Transportation Engineering, Ajou University) ;
  • Park, Jun-Hong (Transportation Pollution Rearch Cnter, National Institute of Environmental Research) ;
  • Lee, Jong-Tae (Transportation Pollution Rearch Cnter, National Institute of Environmental Research) ;
  • Kim, Jeong-Soo (Transportation Pollution Rearch Cnter, National Institute of Environmental Research) ;
  • Lee, Kyu-Jin (TOD-based Sustainable City Transportation Research Center, Ajou University) ;
  • Yi, Yong-Ju (Civil and Transportation Engineering, Ajou University)
  • 최기주 (아주대학교 환경건설교통공학부) ;
  • 박준홍 (국립환경과학원 교통환경연구소) ;
  • 이종태 (국립환경과학원 교통환경연구소) ;
  • 김정수 (국립환경과학원 교통환경연구소) ;
  • 이규진 (아주대학교 TOD기반 지속가능도시.교통 연구센터) ;
  • 이용주 (아주대학교 건설교통공학과)
  • Received : 2011.08.29
  • Accepted : 2012.02.15
  • Published : 2012.02.28
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Abstract

Domestic road type-and period-specific driving pattern measurement was required as Korea's participation in developing "Worldwide harmonized light-duty vehicle emission test procedure (WLTP/DHC)" studied by UN WP29. This study measured road driving data reflecting road and traffic conditions of Korea, and analyzed seven types of representative road type-and period-specific driving patterns with driving pattern standardization methodology proposed by WP29. PAMS (Portable Activity Monitoring Systems) equipment was used to collect enormous (35,410km) road driving data. There are significant difference among seven derived driving patterns.

한국이 UN 자동차 법규 표준화 기구(WP29) 주관의 소형차 배출가스 시험방법 국제 표준화(WLTP/DHC) 연구에 참여하게 됨에 따라 우리나라의 도로 종류 별, 주행 시간대 별 주행패턴 측정이 요구되었다. 이에 본 연구에서는 WP29에서 제안한 주행패턴 표준화 방법을 토대로, 우리나라의 도로 교통 특성을 반영한 실 도로 주행패턴을 측정하고, 대표성을 갖는 도로 종류 별 주행 시간대별 총 7가지 유형의 주행패턴을 분석하였다. 이를 위해 이동식 차량활동도 모니터링 장비(PAMS)를 이용하여 35,410km의 실주행자료를 수집하였으며, 각 유형별로 분석된 주행패턴은 서로 유의한 차이가 있는 것으로 나타났다.

Keywords

References

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