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Application of an Emission Estimation Methodology to Reflect Microscale Road Driving Conditions
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 Title & Authors
Application of an Emission Estimation Methodology to Reflect Microscale Road Driving Conditions
Hu, Hyejung; Yoon, Chunjoo; Yang, Choongheon; Kim, Jinkook;
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PURPOSES : This study proposes a methodology to collect data necessary for microlevel emission estimation, such as second-by-second speeds and road grades, and to accordingly estimate emissions. METHODS : To ease data collection for microlevel emission estimation, a vehicle equipped with speed- and location-recording instruments as well as equipment for measuring road geometry was used. As a case study, this vehicle and the proposed methodology were used on a 10-km-long highway in Yongin City, Korea. Emissions from the vehicle during driving were estimated in various microscale driving conditions. RESULTS : Differences in the estimated emission under different microscale driving conditions cannot be ignored. Compared with the estimations obtained when second-by-second data were not considered, CO and NOx emissions were more than threefold higher when considering second-by-second speed; similarly, CO and NOx emission estimations were higher by approximately 10% and 3%, respectively, when considering second-by-second road grade. CONCLUSIONS : The proposed method can estimate vehicle emissions under real-world driving conditions in such applications as road design and traffic policy assessments.
emission estimation;driving cycle;road grade;microlevel emission estimation;
 Cited by
Baek W., Song, B., 2007. Roll and pitch estimation via an accelerometer array and sensor networks, KSAE Vol. 8, 753-760.

Choi, S., Do, M., 2014. Development of fuel consumption estimation model considering road gradient, Korean Society of Road Engineers, Conference paper, 119-122.

Choi, S., Jung, H., Shin, Y., Lim, J., Shin, Y., Park, Y., 2010. A study on the effect of driving conditions of passenger cars on the fuel consumption, The Korean Society of Automotive Engineers, Conference paper, 676-681.

Choi, S., Oh, T., 2011. Effect on the fuel economy by gradient in automobile driveway, Journal of the Korea Academia-Industrial cooperation Society, Vol. 12, No. 7, 2925-2930. crossref(new window)

Department of the Environment, Transport, and the Regions, UK, 1999. Design Manual for Roads and Bridges (DMRB), Volume 11, Section 3, Part 1-Air Quality.

Gkatzoflias, D., Ntziachristos, L., Samaras, Z., 2007. COPERT 4 Computer Programme to Calculate Emissions from Road Transport - Users Manual, ETC?ACC (European Topic Centre on Air Air and Climate Change.

Hong, S., Ryu, J.,, Gerdes, C., 2001. Road grade and vehicle parameter estimation for longitudinal control using GPS, IEEE, ITS Conference paper.

Hu, H., Yoon, C., Lee, T., Yang, I., Sung J., 2013. Instantaneous GHG emission estimation method considering vehicle characteristics in Korea, J. Korean Soc. Transp., Vol.31, No.6, 90-105. crossref(new window)

Hu, H., Frey, C., Yoon, C., Yang, C., Kim, J., 2016. A study for developing a operating mode-based emission model for Korea, J. Korean Soc. Transp., in press.

Jost, P., Hassel, D., Webber, F., Sonnborn, J., 1992. Emission and Fuel Consumption Modelling Based on Continuous Measurements. DRIVE Project V1053, TUV Rhineland, Cologne, Deliverable No. 7.

Joumard, R., Jost, P., Hickman, J., 1995. Influence of Instantaneous Speed and Acceleration on Hot Passenger Car Emissions and Fuel Consumption, SAE Paper 950928, Society of Automotive Engineers, Warrendale, Pennsylvania.

Korea Institute of Civil Engineering and Building Technology, 2012. Development of Next Generation Equipment for Road Safety Inspection, Research Project Final Report.

Lee, J., Choi, J. Noh, K., Hu, H., 2016. Application methodology of greenhouse gases emission table for various types of roads and vehicles, International Journal of Highway Engineering, Vol. 18, No.1, 23-31. crossref(new window)

Lee, T., Keel, J., Park, J., Park, Y., Hong, J., Lee, D., 2011. Speedbased emission factor regarding vehicle specific power and acceleration during on-road driving, Transactions of KSAE, Vol.19, No.1, 73-81.

National Institute of Environmental Research, 2010. National Air Pollutant Emission Calculation Method Manual II

National Institute of Environmental Research, 2011, GHG-CAPSS Green House Gas Emission Calculation Method Manual.

Park, J., Park, Y.. Lee, J., 2000. Estimation of real driving fuel consumption rate of a vehicle when driving on road including grade to measure the fuel consumption rate, Transactions of KSAE, Vol. 8, No. 2, 65-76.

Park, J., Yun, D.. Sung, J., Lee, J., 2012. The Measurement of Road Alignment Using GPS-IMU System, J. Korean Soc. Transp., Vol.30, No.5, 61-69.

Pelkmans, L., Debal, P., Hood, T., Hauser, G., Delgado, M. R., 2004. Development of a Simulation Tool to Calculate Fuel Consumption and Emissions of Vehicles Operating in Dynamic Conditions, SAE Paper 2004-01-1873, Society of Automotive Engineers.

Rexeis, M., Hausberger, S., Riemersma, I., Tartakovsky, L., Zvirin, Y., Erwin, C., 2005. Heavy-duty Vehicle Emissions, Final Report of WP400 in ARTEMIS (Assessment and Reliability of Transport Emission Models and Inventory Systems), University of Technology, Graz.

Scora, G., Barth, M., 2006. Comprehensive Modal Emissions Model(CMEM), Version 3.01, User's Guide, University of California, Riverside Center for Environmental Research and Technology.

U.S. EPA MOVES, 2010.

Wipke, K., Cuddy, M., Bharathan, D., Burch, S., Johnson, V., Markel, A., Sprik, S., 1999. Advisor 2.0 : A Second-Generation Advanced Vehicle Simulator for Systems Analysis, National Renewable Energy Laboratory.

Yun, D., Sung, J., 2014. A study of geometric data collection for vertical alignment analysis using road safety survey & analysis vehicle, KoreanN Society of Civil Engineers, Conference paper, 3832-3837.

Zhang, K., Frey, C., 2005. Road Grade Estimation For On-Road Vehicle Emissions Modeling Using Lidar Data, 05-A-1137-AWMA.