Green-Wave Traffic Theory Optimization and Analysis

DOI: 10.4236/wjet.2014.23B003   PDF   HTML     5,388 Downloads   6,253 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.

Share and Cite:

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.

Conflicts of Interest

The authors declare no conflicts of interest.

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.

  
comments powered by Disqus

Copyright © 2020 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.