International Journal of Highway Engineering (한국도로학회논문집)

Korean Society of Road Engineers (한국도로학회)
권호 표지
DOI QR코드

DOI QR Code

Estimating Carbon Emissions due to Freeway Incidents by Using Macroscopic Traffic Flow Models

거시적 교통류모형을 이용한 고속도로 돌발상황에 따른 탄소배출량 산정연구

  • 손영태 (명지대학교 교통공학과) ;
  • 한규종 (한국교통연구원 국정교통연구본부)
  • Received : 2015.10.13
  • Accepted : 2016.01.18
  • Published : 2016.02.15
Download PDF
⟨ Previous Next ⟩

Abstract

PURPOSES : The purpose of this study is to develop a methodology for estimating additional carbon emissions due to freeway incidents. METHODS : As our country grows, our highway policy has mainly neglected the environmental and social sectors. However, with the formation of a national green growth keynote and an increase in the number of people interested in environmental and social issues, problems related to social issues, such as traffic accidents and congestion, and environmental issues, such as the impact of air pollution caused by exhaust gases that are emitted from highway vehicles, are beginning to be discussed. Accordingly, studies have been conducted on a variety of environmental aspects in the field of road transport, and for the quantitative calculation of greenhouse gas emissions, using various methods. However, in order to observe the effects of carbon emissions, microscopic simulations must use many difficult variables such as cost, analysis time, and ease of analysis process. In this study, additional greenhouse gas emissions that occur because of highway traffic accidents were classified by type (incident handling time, number of lanes blocked, freeway level of service), and the annual additional emissions based on incidents were calculated. According to the results, congestion length and emissions tend to increase with an increase in incident clearance time, number of occupied lanes, and worsening level of service. Using this data, we analyzed accident data on the Gyeong-bu Expressway (Yang-Jae IC - Osan IC) for a year. RESULTS : Additional greenhouse gas emissions that occur because of highway traffic accidents were classified by type (incident handling time, number of lanes blocked, freeway level of service) and annual additional emissions caused by accidents were calculated. CONCLUSIONS : In this study, a methodology for estimating carbon emissions due to freeway incidents was developed that incorporates macroscopic flow models. The results of the study are organized in the form of a look-Up table that calculates carbon emissions rather easily.

Keywords

References

  1. Adolf D. May, 1990. Traffic flow fundamentals.
  2. Baek S. K., Park J. B., Nam-gung S., Jang H. H., Kang N. J., et al , 2003. Development of Dynamic Highway Traffic Simulation Model for Incident Management, Korea Institute of Civil Engineering and Building Technology.
  3. Cambridge Systemics. 1990. Incident Management.
  4. EPA. 2009. "Development of Emission Rates for Light-Duty Vehicles in the Motor Vehicle Emissions Simulator (Draft Report)".
  5. Han D. H., Lee Y. I., Jang H. H., 2011. A Study of Calculation Methodology of Vehicle Emissions based on Driver Speed and Acceleration Behavior, J. Korean Soc. Transp., 29(5), Korean Society of Transportation, 107-120.
  6. Kim J. H., Lee S. B, Park B. J, 2002. A study on how to improve frequent accident spot and interval selection, The Korea Transport Institute.
  7. Kim S. H., 2010. The Study of Model Development for Delay at Short-Term Work Zones on Two-Lane Freeways, Kye-myong University.
  8. Kim Y. K., Wu S. K., Park S. J., Kim M .J., HAN D. J, 2011. A Study on Evaluation Methodology of Greenhouse Gas and Air Pollutant Emissions on Road Network - Focusing on Evaluation Methodology of CO2 and NOx Emissions from Road -, The Korea Transport Institute Basic Research Reports.
  9. Korea Ministry of Land, Transport and Maritime Affairs, 2000. KHCM 2001.
  10. Korea Ministry of Land, Transport and Maritime Affairs, 2011. Transport infrastructure investment rating 4th Amendment guidance.
  11. Korea National Institute of Environmental Research, 2009. Build the transport sector greenhouse gas Climate Change Response System (II) - Bottom-up automobile greenhouse gas emission factors.
  12. Lindley, J. 1987. Urban Freeway Congestion: Quantification of the Problem and Effectiveness of Potential Solutions. ITE Journal-Institute of Transportation Engineers 57.1, pp. 27-32.
  13. Muriel J. Grace, Renfrey B. Potts, 1963. A theory of the diffusion of traffic platoons.
  14. TRB special report, 1975. Traffic flow theory.
  15. Park, J.Y., Noland, R.B, and, Polak, J.W., 2007, Microscopic Model of Air Pollutant Concentration, Transportation Research Record 1750, No. 01-3099, 64-73
  16. University of Florida, 1991. TRANSYT-7F User's Guide.
  17. Yoo J. H., 2011. Development of Shock Wave Propagation Models through Temporal-Spatial Analysis, Junnam University.