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International Conference on Computer Engineering and Networks

CENet2018 2018: The 8th International Conference on Computer Engineering and Networks (CENet2018) pp 44–50Cite as

Research on Variable-Lane Control Method on Urban Road

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Part of the book series: Advances in Intelligent Systems and Computing ((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.

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Acknowledgment

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

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Authors and Affiliations

  1. Changchun Normal University, Changchun, 130032, China

    Yan Liu

Authors
  1. Yan Liu
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Correspondence to Yan Liu .

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Editors and Affiliations

  1. School of Computing, Edinburgh Napier University, Edinburgh, UK

    Qi Liu

  2. College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China

    Mustafa Mısır

  3. School of Computer, Fudan University, Shanghai, China

    Xin Wang

  4. College of Information Science and Technology/College of Cyber Security, Jinan University, Guangzhou, China

    Weiping Liu

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Liu, Y. (2020). Research on Variable-Lane Control Method on Urban Road. In: Liu, Q., Mısır, M., Wang, X., Liu, W. (eds) The 8th International Conference on Computer Engineering and Networks (CENet2018). CENet2018 2018. Advances in Intelligent Systems and Computing, vol 905. Springer, Cham. https://doi.org/10.1007/978-3-030-14680-1_6

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