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Green-Wave Traffic Theory Optimization and Analysis

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DOI: 10.4236/wjet.2014.23B003    4,873 Downloads   5,587 Views   Citations

ABSTRACT

This paper analyzed the applicable conditions of the Green-Wave traffic theory, used two-phase signal control concept to optimize the Green-Wave traffic theory, put forward specific program for cross intersections and T-intersections. The analysis concluded that the optimized Green-Wave traffic theory is favorable to improve road safety and reduce vehicle fuel consumption and reduce vehicle emissions and other aspects.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

Wu, X. , Deng, S. , Du, X. and Ma, J. (2014) Green-Wave Traffic Theory Optimization and Analysis. World Journal of Engineering and Technology, 2, 14-19. doi: 10.4236/wjet.2014.23B003.

References

[1] Zhang, W.H., Wang, W. and Hu, G. (2003) Low Transport Energy Consumption-Based Urban Development Strategy. Highway and Transportation Research, 2, 80-84.
[2] Wang, W., et al. (2003) Urban Transport System Energy Consumption and Environmental Impact Analysis Method. Science Press, Beijing, 70-74.
[3] Xu, B.Y. (2012) Applicability Study of Urban Main Road Green Wave Band Control. Nanjing Forestry University.
[4] Pan, F.Q., Zhang, L.X., Lu, J. and Wang, F.Y. (2013) Computation Module of Vehicle Conflict Points at No Signal- Controlled Intersections. Journal of Shanghai Jiao Tong University, 2.
[5] Cai, J. (2013) Urban Road Network System Planning. Chinese Building Industry Press.
[6] Wang, N.N. (2012) Urban Road Driving Conditions Building and Fuel Consumption Research. Hefei University of Technology.
[7] Jia, H.F., Juan, Z.-C., Zhang, X.X., and Nian, A.N. (2004) Highway Fuel Consumption Evaluation Indicators Identification and Comparison.
[8] Ma, D., Zhao, Y. and Liang, B. (2010) Study of Lightweight Vehicle Emission Characteristics under Different Driving Conditions. Beijing Automotive, 4.

  
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