The Journal of The Korea Institute of Intelligent Transport Systems (한국ITS학회 논문지)

The Korea Institute of Intelligent Transport Systems (한국ITS학회)
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Development of a Fuel-Efficient Driving Method based on Slope and Length of Uphill Freeway Section

고속도로 오르막 구간의 경사도와 길이에 따른 연료 효율적 주행방법 개발

  • 최지은 (부경대학교 공간정보시스템공학과) ;
  • 배상훈 (부경대학교 공간정보시스템공학과)
  • Received : 2014.11.19
  • Accepted : 2015.02.03
  • Published : 2015.02.28
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Abstract

In 2011, greenhouse gas emissions of transport sector were 85.04 million $tonCO_2eq$ and road emissions accounted for 95% of total emissions in the transport sector. There are few innovative technologies to reduce greenhouse gas emissions aside from eco-driving education and public relation program. Therefore, this paper focused on analyzing optimal acceleration by certain road grades and suggested fuel-efficient driving method for various uphill sections. Scenarios were established by driving modes. Speed profiles were generated by scenarios and speed variations. Each speed profile applied to Comprehensive Modal Emission Model and then each fuel consumption was estimated. Driving mode and speed variation that minimized fuel consumption were driven according to grade percent and uphill distance. When driving in the eco-friendly mode of the driving and speed variation, reduction rate of fuel consumption was evaluated by comparison between eco-driving and cruise control mode. When a vehicle drove under eco-driving mode at 100kph, 90kph and 80kph on uphill road, fuel consumptions were reduced by 33.9%, 30.8% and 5.3%, respectively.

2011년 교통부문 온실가스 배출량은 85.04백만$tonCO_2eq$이며 도로분야에서 발생한 온실가스 배출량은 95% 비율을 차지한다. 이러한 온실가스 배출량 감축의 일환으로 급가속 회피, 경제속도 준수 등 에코드라이빙 교육 및 홍보 프로그램이 활성화되고 있으나 근원적인 배출량 감축 기술 개발은 미비한 실정이다. 따라서 본 연구는 도로 경사도 별 최적가속도를 분석하고 하류부의 오르막 구간을 대상으로 연료 효율적인 주행방법의 제시를 목적으로 하였다. 오르막 주행 시 주행모드에 따른 시나리오를 설정하고 시나리오별 속도변화량을 다르게 설정하여 속도 프로파일을 생성하였다. 각 속도 프로파일을 Comprehensive Modal Emission Model에 적용하여 연료소모량을 산정하였다. 도로 경사도, 오르막길이 별 연료소모량이 가장 적게 소모된 주행모드와 속도변화량을 도출하였다. 도출된 주행모드와 속도변화량을 기반으로 에코드라이빙 시 소모된 연료소모량과 cruise control 주행 시 소모된 연료소모량을 비교 분석하였다. 분석 결과, 오르막 지형을 100kph, 90kph, 80kph 속도로 주행 시 에코드라이빙 주행의 연료소모량이 cruise control 주행 보다 각각 33.9%, 30.8%, 5.3% 감축효과가 나타나는 것으로 분석되었다.

Keywords

References

  1. Korea Transport Emission Management System, Retrieved Jun., 1, 2014, from http://www.kotems.or.kr/.
  2. Korea Energy Economics Institue, "2013 Energy Info. Korea", ISSN 2233-4386, pp.1-95, Dec. 2013.
  3. Ministry of Land, Infrastructure and Transportation, Korea, Rules about the road structure & facilities standards(2013), Ministry of Government Legislation, Korea, Retrieved Jun., 1, 2014, from http://www.law.go.kr/main.html.
  4. G. Scora and M. Barth, Comprehensive Modal Emissions Model (CMEM), version 3.01, User's Guide(2006), Retrieved Jan., 1, 2014, from http://www.cert.ucr.edu/cmem.
  5. M. Barth, F. An, T. younglove, G. Scora, C. Levine, M. Ross and T. Wenzel, "Development of a comprehensive modal emissions model", Final Report, NCHRP Project 25-11, pp.1-213, 2000.
  6. S. Park and H. Rakha, "Energy and environmental impacts of roadway grades", Transportation Research Record: Journal of the Transportation Research Board, No. 1987, pp.148-160, 2006.
  7. D. C. Carslaw, P. S. Goodman, F. C. H. Lai, and O. M. J. Carten, "Comprehensive analysis of the carbon impacts of vehicle intelligent speed control", Atmospheric Environment 44. pp.2674-2680, 2010. https://doi.org/10.1016/j.atmosenv.2010.04.046
  8. O. M. J. Carsten and F. N. Tate, "Intelligent Speed Adaptation: accident savings and cost-benefit analysis", Accident Analysis and Prevention 37, pp.407-416, 2005. https://doi.org/10.1016/j.aap.2004.02.007
  9. K. Kang, J. Oh, J. Park, and N. Sung, "Eco-driving based on an analysis f driving patterns and traffic flow", Series of research 2010-24, The Korea Transport Institute, pp.1-164, 2010.
  10. J. T. Oh, S. Y. Lee, T. Y. Heo, and J.S. Park, "Analysis of Driving Pattern and Eco-Driving", Journal of Transport Research, vol. 18, vo. 1, pp.27-38, 2011.
  11. S. C. Choi, "Eco-driving method at highway including grade using GPS altitude data", Journal of the Korea Academia-Industrial Cooperation Society, vol. 12, no. 1, pp.19-25, 2011. https://doi.org/10.5762/KAIS.2011.12.1.019
  12. M. Won, K. Kang, and J. Kim, "A estimation model of the fuel consumption based on the vehicle speed pattern", Journal of Korean Society of Transportation, vol. 29, no. 4, pp.65-71, 2011.
  13. S. Park, H. A. Rakha, K. Ahn, K. Moran, B. Saerens, and E. Bulck, "Predictive ecocrise control system - Model logic and preliminary testing", Transportation Research Record: Journal of the Transportation Research Board, no. 2270, pp.113-123, 2012.
  14. J. Park, J. Lee, S. Kim, J. Kim, and K. Ahn, "The characteristics of driving parameters and $CO_2$ emissions of light-duty vehicles in real-driving conditions at urban area in Seoul", Climate Change Research, vol. 4, no. 4, pp.359-369, 2013.
  15. M. Do and S. Choi, "Effect of road gradient on fuel consumption of passenger car", The Journal of The Korea Insitute of Intelligent Transport Systems, vol. 13, no. 4, pp.48-56, 2014. https://doi.org/10.12815/kits.2014.13.4.048
  16. Ministry of Land, Infrastructure and Transportation, Korea, Total Registered Motor Vehicles(Jan., 2014), Retrieved Mar., 1, 2014, from https://stat.molit.go.kr.
  17. D. G. Yun, "Road research and ARASEO", Korea Institute of Civil Engineering, Proceedings of the KOR-KST Conference, Gimcheon, Korea, Sep., 2014.

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