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An Interval Programming-based Traffic Planning Model for Urban Vehicle Emissions Management
Key Laboratory of Regional Energy System Optimization, Ministry of Education, North China Electric Power University, Beijing China
Key Laboratory of Regional Energy System Optimization, Ministry of Education, North China Electric Power University, Beijing China
Key Laboratory of Regional Energy System Optimization, Ministry of Education, North China Electric Power University, Beijing China
Chinese Academy For Environmental Planning, Anwai dayang lane, Beijing China
Key Laboratory of Regional Energy System Optimization, Ministry of Education, North China Electric Power University, Beijing China
- 1 Key Laboratory of Regional Energy System Optimization, Ministry of Education, North China Electric Power University, Beijing China
- 2 Key Laboratory of Regional Energy System Optimization, Ministry of Education, North China Electric Power University, Beijing China
- 3 Key Laboratory of Regional Energy System Optimization, Ministry of Education, North China Electric Power University, Beijing China
- 4 Chinese Academy For Environmental Planning, Anwai dayang lane, Beijing China
- 5 Key Laboratory of Regional Energy System Optimization, Ministry of Education, North China Electric Power University, Beijing China
Energy and Power Engineering·Volume 05 (2013)·Pages 344–349·Published 30 June 2013·DOI10.4236/epe.2013.54B067
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Abstract
An interval linear traffic planning model is developed for supporting vehicle emissions limited under uncertainty . The interval linear traffic planning model can address uncertainties of traffic system and vehicle emissions related to system costs and limitation of emission. T he interval linear traffic planning model is applicable to complex traffic system. One virtual city as our study object was taken by using the interval linear traffic planning model. In this study, one virtual case and a scenario are provided for three planning periods. The results indicate that the interval linear traffic planning model can effectively reduce the vehicles emission and provide strategies for authorities to deal with problems of transportation system.
KeywordsTraffic SystemVehicle EmissionsTraffic FlowInterval Linear ProgrammingInterval Number
- M. C. Coelho, T. L. Farias and N. M. Rouphail, “A Numerical Tool for Estimating Pollutant Emissions and Vehicles Performance in Traffic Interruptions on Urban Corridors,” International Journal of Sustainable Transportation, Vol. 3, No. 4, 2009, pp. 246-262. doi:10.1080/15568310802175641
- A. D. Ellerman, B. K. Buchner and C. Carraro,“Allocation in the European Emissions Trading Scheme: Rights, Rents and Fairness,” Cambridge: Cambridge University Press; 2007
- Z. Y. Gao, H. Z. Zhang and H. J. Sun, “Bilevel Programming Models, Approaches and Applicationsin Urban Transportation Network Design Problems,” Journal of Transportation Systems Engineering and Information Technology, Vol. 4, No. 1, 2004, pp. 35-44.
- G. Huang, B. W. Baetz and G. G. Patry, “A Grey Fuzzy Linear Programming Approach for Municipal Solid Waste Management Planning under Uncertainty,” Civil Engineering and Environmental System, 1993, pp. 123-146.
- G. H. Huang, B. W. Baetz and G. G. Patry, “Grey Dynamic Programming for Solid Waste Management Planning under Uncertainty,” Urban Plan. D-ASCE, pp. 132-156, 1994.
- G. H. Huang, N. Sae Lim, L. Liu and Z. Chen, “An Interval Parameter Fuzzy-stochastic Programming Approach for Municipal Solid Waste Management and Planning,” Environmental Modeling And Assessment, Vol. 6, No. 4, 2001, pp. 271-283. doi:10.1023/A:1013394118863
- H. Iwata and K. Okada, “Greenhouse Gas Emissions and the Role of the Kyoto Protocol, M. S. Dissertation, Graduate School of Economics,” Kyoto University, Japan, 2010.
- B. Ling, “An Interval Stochastic Two-stage Linear Programming Approach for Managing CO2Emission Quota in Power Generation Sector,” M. S. Dissertation, Faculty of Graduate Studies and Research, Regina, Saskatchewan, Canada, 2006.
- Y. P. Li, G. H. Huang, S. L. Nie and Y. F. Huang “IFTSIP, “Interval Fuzzy Two-stage Stochastic Mixed-integer Linear Programming: A Case Study for Environmental Management and Planning,” Civil Engineering and Environmental Systems, Vol. 23, No. 2, 2006, pp. 73-99. doi:10.1080/10286600600679477
- Q. G. Lin and G. H. Huang, “An Inexact Two-Stage Stochastic Energy Systems Planning Model for Managing Greenhouse Gas Emission at a Municipal Level,” Energy, Vol. 35, No. 5, 2010, pp. 2270-2280. doi:10.1016/j.energy.2010.01.042
- Z. Nahorski and J. Horabik “Greenhouse Gas Emission Permit Trading with Different Uncertainties in Emission Sources,” Journal of Energy Engineering, pp. 52947–52952, 2008.