Journal of Korean Society for Atmospheric Environment (한국대기환경학회지)

Korean Society for Atmospheric Environment (한국대기환경학회)
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An Analysis on the Emission Reduction Effect of Diesel Light-duty Truck by Introducing Electronic Toll Collection System on Highways

고속도로 영업소의 자동 요금 징수 시스템 도입에 따른 소형 경유 화물트럭의 배출가스 저감 효과 분석

  • Park, Junhong (National Institute of Environmental Research, Transportation Pollution Research Center) ;
  • Lee, Jongtae (National Institute of Environmental Research, Transportation Pollution Research Center) ;
  • Lee, Taewoo (National Institute of Environmental Research, Transportation Pollution Research Center) ;
  • Kim, Jiyoung (National Institute of Environmental Research, Transportation Pollution Research Center) ;
  • Kim, Jeongsoo (National Institute of Environmental Research, Transportation Pollution Research Center) ;
  • Kil, Jihoon (National Institute of Environmental Research, Transportation Pollution Research Center)
  • 박준홍 (국립환경과학원 교통환경연구소) ;
  • 이종태 (국립환경과학원 교통환경연구소) ;
  • 이태우 (국립환경과학원 교통환경연구소) ;
  • 김지영 (국립환경과학원 교통환경연구소) ;
  • 김정수 (국립환경과학원 교통환경연구소) ;
  • 길지훈 (국립환경과학원 교통환경연구소)
  • Received : 2012.05.07
  • Accepted : 2012.08.01
  • Published : 2012.10.31
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Abstract

Electronic Toll Collection System (ETCS), so called "Hi-Pass" in Korea, has improved traffic flow at toll gate of highways. It is known that the improvement of traffic flow should reduce air pollutants and $CO_2$ from vehicles. In this study, real driving emission of a light duty truck with Portable Emission Measurement System(PEMS) has been measured to evaluate the emission reduction effect due to ETCS. The correlations between driving variables and emissions have been analyzed to verify its effect on traffic flow improvement and emission reduction at toll gate. We considered average vehicle speed, Relative Positive Acceleration (RPA), and the distance of queue as driving variables. Compared to passing Manual Toll Collection System (MTCS) lane without queue, ETCS was able to reduce 38.7% of $NO_x$, 21.6% of soot, and 27.7% of $CO_2$. The results showed that the higher the average vehicle speed, the lower RPA and no queue in ETCS contributed to the emission reductions. Linear equation models with RPA and queue have been established by the multiple linear regression method. The linear models resulted in the higher coefficient of determination than those with only average vehicle speed used for establishing vehicle emission factors.

Keywords

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