DOI QR코드

DOI QR Code

Evaluation Methodology of Greenhouse Gas On-Line Monitoring on Freeway

고속도로 구간의 온실가스 On-Line 모니터링 산정방법

  • Lee, Soong-bong (Dept. of Environmental Planning, Graduate School of Environmental Studies, Seoul National University) ;
  • Chang, Hyun-ho (Dept. of Environmental Planning, Graduate School of Environmental Studies, Seoul National University)
  • 이숭봉 (서울대학교 환경대학원 환경계획학과) ;
  • 장현호 (서울대학교 환경대학원 환경계획학과)
  • Received : 2016.12.27
  • Accepted : 2017.03.05
  • Published : 2017.04.30

Abstract

Previous management for speed in road traffic system was aimed only to the improvement of mobility and safety. However, consideration for the aspect of environment and energy consumption efficiency was valued less than the former ones. Nevertheless, economical damage scope caused by climate change has been increasing and it is estimated that environmental value will be increased because of the change of external circumstances. In addition, policy for reducing carbon emission in transportation system was assessed as insufficient in improving the condition of traffic road since it only focused on the transition of private vehicle into public transportation and development of eco-friendly car. Now it is the time to prepare for the adaptation strategy and precaution for the increased number of private vehicle in Korea. For this, paradigm shift in traffic operation which includes the policy not only about the mobility but also about caring environment would be needed. It is needed to be able to monitor the actual amount of greenhouse gas in real time to reduce the amount of emitted greenhouse gas in the aspect of traffic management. In this research, a methodology which can build on-line greenhouse gas emission monitoring system by using real time traffic data and predicting the circumstance in next 5 minutes was suggested.

기존의 도로교통의 속도관리 목표는 이동성 및 안전성 개선을 목표로 운영되어 왔으며, 환경적 측면과 에너지 효율 측면에 대한 고려는 미미하였다. 하지만, 최근 들어 기후변화로 인한 경제적 피해규모가 증가하고 있으며, 외부적 여건변화에 따라 환경가치는 상승할 것으로 예상된다. 또한, 교통부문에서의 탄소배출량 저감정책은 개인교통수단에서 대중교통으로 의 전환 및 친환경자동차 개발에만 집중되어있어 상대적으로 도로운영의 개선을 통한 저감 노력이 부족하다는 평가를 받았다. 향후 우리나라의 자동차 보유대수는 증가할 것으로 예상되므로 이에 대한 적응전략 및 대비책이 필요한 시점이다. 이를 위해서는 기존의 이동성 중심의 도로운영 정책에서 환경측면을 고려한 정책으로, 도로운영의 패러다임 전환을 통해 구현할 수 있을 것으로 판단된다. 교통운영 측면에서 온실가스 배출량을 저감하기 위해서는 현재 도로상에서 어느 정도 온실가스가 배출되는지를 실시간으로 모니터링 할 수 있어야 한다. 본 연구에서는 실시간으로 수집되는 교통자료를 이용하여 5분 후의 상태를 예측하고 이를 통해 실시간 온실가스 배출량 모니터링 시스템을 구축할 수 있는 방법론을 제안하였다.

Keywords

References

  1. Bae S. H., Lee H. J.(2004), "An Application of Kalman Filter Algorithm to Real-Time Traffic Information," Journal of the Korean Society of Civil Engineers, vol. 24, no. 4, pp. 543-547.
  2. Chang H. H., Lee Y. I., Yoon B. J., and Baek S. K.(2012), "Dynamic near-term traffic flow prediction: system-oriented approach based on past experiences," IET: Intelligent Transport Systems, vol. 6, no. 3, pp. 292-305. https://doi.org/10.1049/iet-its.2011.0123
  3. Han D. H., Hong S. H and Lee S. B.(2012), "Development of CO2 Emission Estimating Methodology of Electronic Toll Collection System Based on Instantaneous Speed and Acceleration," Journal of Transport Research, vol. 19, no. 3, pp.63-76.
  4. IPCC(2006), 2006 IPCC Guidelines for National Greenhouse Gas Inventories Volume 1, General Guidance and Reporting.
  5. Kim T. H., Lee S. I., Kim Y. I and Rho J. H.(2010), "Comparison Study of Generated Greenhouse Gas(GHG) Amount Estimation from Road Transportation," Journal of the Korean Society of Civil Engineers, vol. 58, no. 9, pp.67-73.
  6. Kim W. C and Kim J. T.(2012), "Carbon Reduction Effect of Traffic Operational Methods Itemized in National Project for Advanced Traffic Operation and Management," Journal of the Korean Society of Civil Engineers, vol. 32, no. 1d, pp.1-11.
  7. Lee C. W., Park J. Y., Kho S. Y.(2002), "Prediction of Path Travel Time Using Kalman Filter," Journal of the Korean Society of Civil Engineers, vol. 22, no. 5, pp. 871-880.
  8. Park J. H., Kim W. H., Nam D. H and Lee Y. I.(2007), "A Study on the Strategy and the Evaluation of Traffic Operation Considering the Environmental Justice in Emission," Journal of Korean Society of Transportation, vol. 25, no. 3, pp.7-17.
  9. Rakha, H. Van A. M., Ahn K. and Trani A. A.(2000). "Requirements for evaluating traffic signal control impacts on energy and emissions based on instantaneous speed and acceleration measurements," Transportation Research Record: Journal of the Transportation Research Board, no.1738, pp.56-67.
  10. Ryu B. Y and Bae S. H.(2012), "Estimation of Greenhouse Gas in the Urban Area by Using Advanced Traffic Management Systems," Journal of Transport Research, vol. 19, no. 3, pp.119-134.
  11. Ryu B. Y., Bae S. H., Han S. Y and Kim G. Y.(2011), "A Comparative Study for Estimation of Greenhouse Gas for Local Government's Sustainable Transport," Journal of Korean Society of Transportation, vol. 29, no. 5, pp.55-65.