Optimization Model of the Inland Bridge Navigation Hole

  • Yanfeng Wang
  • Liwen Huang
  • Yaotian Fan
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9864)


In order to make full use of the river coast resources and reduce the influence of the inland bridge construction on the shipping and logistics distribution, this paper uses the method combining the dynamic programming and grey theory to establish inland river bridge navigation hole distribution optimization model. Using the Wuhan Zhuankou bridge as an example, according to the Wuhan section of the Yangtze River in 2014 water level value and he bridge area of the underwater terrain features, the model has been verified.


Inland river bridge Shipping Logistics Grey theory Dynamic programming 


  1. 1.
    Liu, S., Guo, T., Dang, Y.: Grey Systems Theory and Its Application, pp. 110–116. Science Press, Beijing (1999)Google Scholar
  2. 2.
    Zhang, P.: New algorithm for multidimensional continuing dynamic programming. Control Decis. 26(8), 1219–1223 (2011)MathSciNetMATHGoogle Scholar
  3. 3.
    TAN, Z.: Emergency Mechanism and Integration Methods of Risk Assessment for Ship-Bridge Collision in the Yangtze River. Wuhan University of Technology, pp. 86–94 (2011)Google Scholar
  4. 4.
    Huang, C., Hu, S., Gao, D., et al.: Design and realization of assessment system on dynamic risk of ship collision with bridge. China Saf. Sci. J. 23(4), 120–126 (2013)Google Scholar
  5. 5.
    Wu, Y., Geng, B., Wang, H.: Dynamic finite element numerical simulation of vessel-bridge collision. J. Chongqing Jiaotong Univ. Nat. Sci. 29(5), 681–684 (2010)Google Scholar
  6. 6.
    Dai, T., Nie, W., Liu, W.: The analysis of ship-bridge collision in main waterway of the Yangtze river. Navig. Chin. 46(4), 44–47 (2002)Google Scholar
  7. 7.
    Fan, W., Yuan, W.C., Fan, Q.W.: Calculation method of ship collision force on bridge using artificial neural network. J. Zhejiang Univ. Sci. A 9(5), 614–623 (2008)CrossRefMATHGoogle Scholar
  8. 8.
    Sheikh, Y., Shah, M.: Bayesian modeling of dynamic scenes for object detection. IEEE Trans. Pattern Analy. Mach. Intell. 27(11), 1778–1792 (2005)CrossRefGoogle Scholar
  9. 9.
    Duckett, W.: Risk analysis and the acceptable probability of failure. Struct. Eng. 83(15), 36–44 (2005)Google Scholar
  10. 10.
    Wen, K.L.: The grey system analysis and its application in gas breakdown and VAR compensator finding (Invited Paper). Int. J. Comput. Cogn. 2(1), 21–44 (2004)Google Scholar
  11. 11.
    Shi, X., Hao, Z.: Fuzzy Control and Its Simulation with MATLAB. Tsinghua University Press, pp. 149–189 (2008)Google Scholar

Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  1. 1.School of NavigationWuhan University of TechnologyWuhanPeople’s Republic of China
  2. 2.Hubei Key Laboratory of Inland Shipping TechnologyWuhanPeople’s Republic of China
  3. 3.Wuhan Technical College of CommunicationsWuhanPeople’s Republic of China

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