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Research on Variable-Lane Control Method on Urban Road

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 905)

Abstract

There is a kind of phenomenon of unbalanced road resources distribution in the city traffic congestion, called tidal traffic. In order to resolve the phenomenon of traffic congestion caused by the above reasons and improve the road capacity, a bi-level planning model is established based on the entire regional road network optimization. The total impedance of system, namely the control region is minimized in the upper level and Beckmann model is applied in the lower level and harmony ant colony algorithm is designed to solve the integer planning model. Finally, the proposed model is verified by practical examples. Results show that the new proposed lane adjustment method in this paper can solve the problem of “tidy traffic” effectively.

Keywords

Tide traffic Bi-level programming model Variable lane HS-AC algorithm 

Notes

Acknowledgment

This work is supported by Education Department of Jilin Province (JJKH20181181KJ).

References

  1. 1.
    Sun, Q.: Research about algorithm of dynamic variable lane optimization. Highway 8, 45–50 (2009)Google Scholar
  2. 2.
    Zhang, H.Z., Gao, Z.Y.: A convex combination method for solving mixed- integer bi-level programming. J. Beijing Jiaotong Univ. 29(6), 38–42 (2005)Google Scholar
  3. 3.
    Suwansirikul, C., Friesz, T.L., Tobin, R.L.: Equilibrium decomposed optimization: a heuristic for the continuous equilibrium net-work design problem. Transp. Sci 21, 254–263 (1987)CrossRefGoogle Scholar
  4. 4.
    Ma, Z.H.: Research on the setting methods of variable lane in urban roads. Jilin University, Changchun (2014)Google Scholar
  5. 5.
    Zhang, H.Z., Gao, Z.Y.: Optimization approach for traffic road network design problem. Chin. J. Manage. Sci. 15(2), 86–91 (2007)MathSciNetGoogle Scholar
  6. 6.
    Brain, W., Laurence, L.: Reversible lane synthesis of practice. J. Transp. Eng. 9, 933–944 (2006)Google Scholar
  7. 7.
    Brain, W., Laurence, L.: Planning and operational practice of reversible roadway. ITE J. 8, 38–43 (2006)Google Scholar
  8. 8.
    Wang, X.: Bi-level programming model and algorithm of urban roads convertible lanes. Zhongnan University, Changsha (2013)Google Scholar
  9. 9.
    Gao, Z.Y., Zhang, H.Z., Sun, H.J.: Bi-level programming models, approaches and applications in urban transportation network design problems. J. Transp. Syst. Eng. Inf. Technol. 2(4), 35–44 (2004)Google Scholar
  10. 10.
    Du, W.L., Zhang, H.L., Qian, F.: Chaotic particle swarm optimization algorithm with harmony search for industrial applications. J. Tsinghua Univ. (Science & Technology) 52(3), 325–330 (2012)Google Scholar
  11. 11.
    Hao, B., Ren, X.H., Gao, Y.L.: Hybrid harmony search and estimation of distribution algorithm for multi-objective optimization problems. Appl. Res. Comput. 5, 1659–1661 (2012)Google Scholar
  12. 12.
    Das, S., Mukhopadhyay, A., Roy, A., Abraham, A., Panigrahi, B.K.: Exploratory power of the harmony search algorithm: analysis and improvements for global numerical optimization. IEEE Trans. Syst. Man Cybern. B Cybern. 41(1), 89–106 (2011)CrossRefGoogle Scholar
  13. 13.
    Landa-Torres, I., Ortiz-Garcia, E.G., Salcedo-Sanz, S., Segovia-Vargas, M.J., Gil-Lopez, S., Miranda, M., Leiva-Murillo, J.M., Del Ser, J.: Evaluating the internationalization success of companies through a hybrid grouping harmony search-extreme learning machine approach. IEEE J. Sel. Top. Signal Process. 6(4), 388–398 (2012)CrossRefGoogle Scholar
  14. 14.
    Al-Betar, M.A., Khader, A.T., Zaman, M.: University course time tabling using a hybrid harmony search metaheuristic algorithm. IEEE Trans. Syst. Man Cybern. C Appl. Rev. 42(5), 664–681 (2012)CrossRefGoogle Scholar
  15. 15.
    Wei, L., Fu, H., Yin, Y.P.: Research and application of integer programming based on combinative harmony search and ant colony algorithm. Comput. Eng. Appl. 49(20), 5–8 (2013)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Changchun Normal UniversityChangchunChina

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