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The International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery

ICNC-FSKD 2019: Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery pp 189–196Cite as

Study on the Energy Dissipation of Two Lane Traffic Flow with Lane Reduction

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1074))

Abstract

In this paper, a two-lane model with partial reduced lane was simulated based on the Kerner-Klenov-Wolf (KKW) cellular automaton model. In the traffic system with periodic boundary condition, the synchronized flow was investigated by local measurements of the density and flow in the KKW model near the entry of the reduced lane. And the length of the reduced lane and the maximum speed and the vehicle length are studied, respectively. The results show that the partial lane reduction strongly reduces the road capacity, and increases the energy dissipation. Moreover, the open boundary condition is given to analyze. The results implied that the injection rate as well as the removal rate has obvious influence on the energy dissipation.

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References

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Acknowledgment

This work is supported by Guangxi Higher Education and Young Teachers’ Basic Ability Improvement Project (No. 2017KY1300).

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Authors and Affiliations

  1. Guangxi University XingJian College of Science and Liberal Arts, Nanning, 530005, China

    Li-Si Jia

  2. Guangxi Medical University, 530021, Nanning, China

    Wei Pan

Authors
  1. Li-Si Jia
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  2. Wei Pan
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Corresponding author

Correspondence to Li-Si Jia .

Editor information

Editors and Affiliations

  1. School of Computer Science and Engineering, The University of Aizu, Aizu-Wakamatsu, Fukushima, Japan

    Yong Liu

  2. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore

    Lipo Wang

  3. Computer Science and Mathematics, University of Sao Paulo, Ribeirao Preto, Brazil

    Liang Zhao

  4. School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China

    Zhengtao Yu

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Jia, LS., Pan, W. (2020). Study on the Energy Dissipation of Two Lane Traffic Flow with Lane Reduction. In: Liu, Y., Wang, L., Zhao, L., Yu, Z. (eds) Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery. ICNC-FSKD 2019. Advances in Intelligent Systems and Computing, vol 1074. Springer, Cham. https://doi.org/10.1007/978-3-030-32456-8_20

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