Research on Design Index of Low-Carbon Highway Route Based on Game Theory

Abstract:

Highway route design indexes are the key factors which can determine the overall performance of highway. They affect not only the economy, safety, function of highway, but also affect the amount of CO₂ emissions of highway. In order to find the most reasonable route design indexes, firstly, establish the function relationship between route design indexes and carbon emissions and cost-effectiveness of highway and social environment. Secondly, analyze action strategies of the highway construction main bodies and the social environment main bodies based on game theory. Thirdly, establish the complete information static game model, and solve to get the pure strategy Nash equilibrium in different circumstances. Establish a set of methods of evaluating highway route design indexes. Provide a scientific decision basis for highway construction departments.

• Periodical: Advanced Materials Research (Volumes 869-870)
• Pages: 1039-1043
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.869-870.1039
• Online since: December 2013
• Authors: Shuang Jian Jiao, Long Fei Li, Yan Wei Li
• Keywords: Carbon Accounting, Cost-Effectiveness, Game Theory, Highway, Route Design Index

References

[1] Ministry of Transport of the People's Republic of China. Traffic Transportation Twelfth Five-Year, Development Planning[R]. Beijing, (2011).

[2] Chengcheng Hou, The Research of Highway Carbon Emission and Expressway Carbon Sink under the Background of Global Climate Warming[D], China: Ocean University of China, (2013).

[3] JIAO Shuangjian, HOU Chengcheng, LI Yanwei , et al. Establishing the CO2 emission model of carbon neutral road based on gradient[C]. 2011 International Conference on Electrical and Control Engineering (ICECE), 2011, Vol. 5: 4494-4497.

DOI: 10.1109/iceceng.2011.6058422

[4] Xiaohui Liao, The Study of Multi-objective Intelligent Optimization in Highway Profile[D], China: Nanjing Forestry University, (2012).

[5] QIN Xiaochun, SHEN Yi, SHAO Shegang. the Key Technologies of the Green Highway Construction and Application of Low-carbon Concept[J]. Journal of Highway and Transportation Research and Development, 2010(7): 308-322.

DOI: 10.1109/mace.2011.5987760

[6] SHI Yourong, ZHAO Wei. Researchon Energy Conservation and Emission Reduction Integrated Management System of Highway and Waterway Transportation[J]. Journal of Wuhan University of Technology, 2010, 32(4): 31-37.

[7] Shaodong Guo, Rui Yang , Hui Zhang. Source identification for unsteady atmospheric dispersion of hazardous materials using Markov Chain Monte Carlo method[J]. International Journal of Heat and Mass Transfer. 2009, 52(17-18) : 3955-3962.

DOI: 10.1016/j.ijheatmasstransfer.2009.03.028

[8] Eugene Yee, Fue-Sang Lien , Andrew Keats. Bayesian inversion of concentration data: Source reconstruction in the adjoint representation of atmospheric diffusion[J]. Journal of wind engineering and industrial aerodynamics, 2008, 96(10-11): 1805-1816.

DOI: 10.1016/j.jweia.2008.02.024

[9] Yu Fu, Setting the Chinese Carbon Emission Trading Market[D], China: Nanjing Forestry University, (2007).

[10] Xin Wang, Research on the Influence Mechanism of China's Carbon Trade Price[D], China: China University of Geosciences, (2011).

[11] Technical Code for Maintenance of Highway, JTJ 073-1996[S].

[12] Longsheng Bao, Ling Yu, Lanyu Zhou, Establishment and application of pavement maintenance cost mode[J]. Journal of Shen yang Arch. and Civ. Eng. Inst. 2000, Vol. 16, No. 1, 10-13.