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Microscopic Emission and Fuel Consumption Modeling for Light-duty Vehicles Using Portable Emission Measurement System Data
Abstract:Microscopic emission and fuel consumption models have been widely recognized as an effective method to quantify real traffic emission and energy consumption when they are applied with microscopic traffic simulation models. This paper presents a framework for developing the Microscopic Emission (HC, CO, NOx, and CO2) and Fuel consumption (MEF) models for light-duty vehicles. The variable of composite acceleration is introduced into the MEF model with the purpose of capturing the effects of historical accelerations interacting with current speed on emission and fuel consumption. The MEF model is calibrated by multivariate least-squares method for two types of light-duty vehicle using on-board data collected in Beijing, China by a Portable Emission Measurement System (PEMS). The instantaneous validation results shows the MEF model performs better with lower Mean Absolute Percentage Error (MAPE) compared to other two models. Moreover, the aggregate validation results tells the MEF model produces reasonable estimations compared to actual measurements with prediction errors within 12%, 10%, 19%, and 9% for HC, CO, NOx emissions and fuel consumption, respectively.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1085936Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1592
 EPA, "User-s Guide to MOBILE6.0. Mobile Source Emission Factor Model". EPA-420-R-02-001. United States Environmental Protection Agency, 2001.
 CARB, "EMFAC User-s Guide".U.S. California: California Air Resource Board, 2002.
 C. Kouridis, L. Ntziachristos, and Z. Samaras, "COPERT III Computer programme to calculate emissions from road transport". European Environment Agency, 2000.
 M. Keller, and N. Kljun, "ARTEMIS Road Emission Model User Guide". EU Commission, 2007.
 EPA, "Draft Motor Vehicle Emission Simulator (MOVES) 2009". EPA-420-B-09-008. United States Environmental Protection Agency, 2009.
 M. Barth, F. An, T. Younglove, G. Scora, C. Levine, M. Ross, and T. Wenzel, "Comprehensive Modal Emission Model (CMEM), version 2.0, User-s Guide". University of California, Riverside, 2000.
 H. Kuhns, C. Mazzoleni, H. Moosmuller, D. Nikolc, R. Keislar, P. Barber, L. Zheng, V. Etyemezian, and J.Watson, "Remote sensing of PM, NO, CO and HC emission factors for on-road gasoline and diesel engine vehicles in Las Vegas, NV". Science of the Total Environment, Vol. 322, No. 1-3, pp. 123-137, 2004.
 N. Rogak, U. Pott, T. Dann, and D. Wang, "Gaseous emissions from vehicles in a traffic tunnel in Vancouver, British Columbia". Air & Waste Manage. Assoc, Vol. 48, No.7, pp.604-615, 1998.
 C. John, R. Friedrich, J. Staehelin, K. Schl├ñpfer, and W.A. Stahel, "Comparison of emission factors for road traffic from a tunnel study (Gubrist tunnel, Switzerland) and from emission modeling". Atmospheric Environment, Vol. 33, No. 20, pp. 3367-3376, 1999.
 F. Yang, and L.Yu, "A Microscopic Emission Model for the Light-Duty Vehicles Based on PEMS Data". In Proceedings of International Conference of Transportation Engineering 2007 (ICTE 2007), Chengdu, China, 2007.
 D.A.M.M. Elst, R.T.M. Smokers, and J.W.De Koning, "Evaluation of the Capabilities of On-Board Emission Measurement System for the Purpose of Generating Real-Life Emission Factors". TNO Report 04.OR.VM.039.1/DE, 2004.
 G. Song, , L. Yu, and X. Zhang, "Emission Analysis at Toll Station Area in Beijing with Portable Emission Measurement System". Transportation Research Record: Journal of the Transportation Research Board, 2058, pp.106-114, 2008.
 X. Li, G. Li, S. Pang, X. Yang, and J. Tian, "Signal timing of intersections using integrated optimization of traffic quality, emissions and fuel consumption: a note". Transportation Research Part D 9, Vol. 9, pp. 401-407, 2004.
 H. Liu, M. Barth, G. Scora, N. Davis, and J. Lents, "Using Portable Emission Measurement System for Transportation Emissions Studies: Comparison with Laboratory Methods". In Proceedings of 89th Transportation Research Board Annual Meeting. USA, Washingtong D.C., 2010.
 H. Rakha, K. Ahn, and A. Trani, "Development of VT-Micro model for estimating hot stabilized light duty vehicle and truck emission". Transportation Research Part D, Vol.9, pp.49-74, 2004.
 H. Teng, L. Yu, and Y. Qi, "Statistical micro-scale emission models incorporating acceleration and deceleration". In Proceedings of 81th Transportation Research Board Annual Meeting. USA , Washington D.C., 2002.
 HORIBA, "On Board Emission Measurement System OBS-2200 Instruction Manual". HORIBA Ltd, 2005.
 Y. Kamarianakis, and H.O. Gao, "Accounting for exhaust gas transport dynamics in instantaneous emission models via Smooth Transition Regression". In Proceedings of 89th Transportation Research Board Annual Meeting. USA Washington D.C., 2010.
 R.K. Jr, "Data smoothing using a least squares fit C++ class". ISA Transactions, 37, pp.3-19, 1998.
 M. Barth, F. An, J. Norbeck, and M. Ross, "Modal Emissions Modeling: A Physical Approach". Transportation Research Record: Journal of the Transportation Research Board, 1520, pp.81-88, 1996.
 H. Guo, J. Zeng, and Y. Hu, "Neural Network Modeling of Vehicle Gross Emitter Prediction Based on Remote Sensing Data". In Proceedings of the 2006 IEEE International Conference. Taipei, Taiwan, 2006