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Bi-level programming model for reconstruction of urban branch road network

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Abstract

Considering the decision-making variables of the capacities of branch roads and the optimization targets of lowering the saturation of arterial roads and the reconstruction expense of branch roads, the bi-level programming model for reconstructing the branch roads was set up. The upper level model was for determining the enlarged capacities of the branch roads, and the lower level model was for calculating the flows of road sections via the user equilibrium traffic assignment method. The genetic algorithm for solving the bi-level model was designed to obtain the reconstruction capacities of the branch roads. The results show that by the bi-level model and its algorithm, the optimum scheme of urban branch roads reconstruction can be gained, which reduces the saturation of arterial roads apparently, and alleviates traffic congestion. In the data analysis the arterial saturation decreases from 1.100 to 0.996, which verifies the micro-circulation transportation’s function of urban branch road network.

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References

  1. DOWNS A. Smart growth: Why we discuss it than we do it [J]. Journal of the American Planning Association, 2005, 71(4): 367–378.

    Article  Google Scholar 

  2. YANG Hai, MENG Qiang. Highway pricing and capacity choice in a road network under a build-operate-transfer scheme [J]. Transportation Research, Part A: Policy and Practice, 2000, 34(3): 207–222.

    Article  Google Scholar 

  3. WANG Yan, LIU Wei-ming, LI Yun-hui. Research on relationships between road infrastructure and traffic demand based on granger causality test [J]. Science Technology and Engineering, 2008, 8(4): 1723–1726.

    MathSciNet  Google Scholar 

  4. LIN S C. The ecologically ideal road density for small islands: The case of Kinmen [J]. Ecological Engineering, 2006, 27(2): 84–92.

    Article  Google Scholar 

  5. WANG Jian-jun, WANG Ji-ping, PENG Zhi-qun. Discussion of appropriate grade proportion of urban road network [J]. Urban Transport of China, 2005, 3(1): 37–42. (in Chinese)

    Google Scholar 

  6. RADNOR J P, NORMAN J A, PAUL H W. Transportation engineering planning and design [M]. Singapore: John Wiley & Sons Inc., 1982.

    Google Scholar 

  7. WAYNE K T. Introduction to transportation [M]. Santa Fe: South-western Publishing Company, 1983.

    Google Scholar 

  8. CHEN Xue-wu, LIU Fei, HU Qi-zhou. Appropriate road grade model of road network in small city [J]. Journal of Traffic and Transportation Engineering, 2008, 8(1): 102–105. (in Chinese)

    Google Scholar 

  9. LI De-hui, LIU Xiao-ming. Research on urban transportation micro-circulation [J]. Road Traffic and Safety, 2005, 5(4): 17–19.

    Google Scholar 

  10. SHI Feng, HUANG En-hou, WANG Ying-zi. Study on the functional characteristics of urban transportation micro-circulation system [J]. Urban Studies, 2008, 15(3): 34–36. (in Chinese)

    Google Scholar 

  11. TAM M L, WILLIAM H K. Balance of car ownership under user demand and road network supply conditions-Case study in Hong Kong [J]. Journal of Urban Planning and Development, 2004, 130(1): 24–36.

    Article  Google Scholar 

  12. LAMMER S, GEHLSEN B, HELBING D. Scaling laws in the spatial structure of urban road network [J]. Physica A: Statistical Mechanics and its Applications, 2006, 363(1): 89–95.

    Article  Google Scholar 

  13. FENG Shu-min, GAO He, GUO Cai-xiang. Evaluation of structural types of urban road network [J]. Journal of Harbin Institute of Technology, 2007, 39(10): 1610–1613. (in Chinese)

    Google Scholar 

  14. ZHAO Yan-jing. From planning to market: The shift of the road-land use mode [J]. Planning Studies, 2002, 26(10): 24–30. (in Chinese)

    Google Scholar 

  15. WANG Bo, ZHAO Feng. A study on the urban transportation strategies and planning modes of medium and small cities [J]. Road Traffic and Safety, 2005, 5(5): 18–21. (in Chinese)

    Google Scholar 

Download references

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Authors and Affiliations

  1. School of Traffic and Transportation Engineering, Central South University, Changsha, 410075, China

    Feng Shi  (史峰), En-hou Huang  (黄恩厚) & Qun Chen  (陈群)

  2. Planning Bureau of Nanning City, Nanning, 530004, China

    En-hou Huang  (黄恩厚)

  3. College of Civil Engineering, Hunan University, Changsha, 410082, China

    Ying-zi Wang  (王英姿)

Authors
  1. Feng Shi  (史峰)
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  2. En-hou Huang  (黄恩厚)
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  3. Qun Chen  (陈群)
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  4. Ying-zi Wang  (王英姿)
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Corresponding author

Correspondence to Qun Chen  (陈群).

Additional information

Foundation item: Project(2006CB705507) supported by the National Basic Research and Development Program of China; Project(20060533036) supported by the Specialized Research Foundation for the Doctoral Program of Higher Education of China

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Shi, F., Huang, Eh., Chen, Q. et al. Bi-level programming model for reconstruction of urban branch road network. J. Cent. South Univ. Technol. 16, 172–176 (2009). https://doi.org/10.1007/s11771-009-0029-z

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  • DOI: https://doi.org/10.1007/s11771-009-0029-z

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