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Analysis Of The Influence Of Lane Changing On Traffic-Flow Dynamics Based On The Cellular Automaton Model

Author

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  • SHINJI KUKIDA

    (Interdisciplinary Graduate School of Engineering Sciences Kyushu University, Kasuga-koen, Kasuga-shi Fukuoka 816-8580, Japan)

  • JUN TANIMOTO

    (Interdisciplinary Graduate School of Engineering Sciences Kyushu University, Kasuga-koen, Kasuga-shi Fukuoka 816-8580, Japan)

  • AYA HAGISHIMA

    (Interdisciplinary Graduate School of Engineering Sciences Kyushu University, Kasuga-koen, Kasuga-shi Fukuoka 816-8580, Japan)

Abstract

Many cellular automaton models (CA models) have been applied to analyze traffic flow. When analyzing multilane traffic flow, it is important how we define lane-changing rules. However, conventional models have used simple lane-changing rules that are dependent only on the distance from neighboring vehicles. We propose a new lane-changing rule considering velocity differences with neighboring vehicles; in addition, we embed the rules into a variant of the Nagel–Schreckenberg (NaSch) model, called the S-NFS model, by considering an open boundary condition. Using numerical simulations, we clarify the basic characteristics resulting from different assumptions with respect to lane changing.

Suggested Citation

  • Shinji Kukida & Jun Tanimoto & Aya Hagishima, 2011. "Analysis Of The Influence Of Lane Changing On Traffic-Flow Dynamics Based On The Cellular Automaton Model," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 22(03), pages 271-281.
    • Handle: RePEc:wsi:ijmpcx:v:22:y:2011:i:03:n:s012918311101621x
    DOI: 10.1142/S012918311101621X
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    Citations

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    Cited by:

    1. Shang, Xue-Cheng & Li, Xin-Gang & Xie, Dong-Fan & Jia, Bin & Jiang, Rui & Liu, Feng, 2022. "A data-driven two-lane traffic flow model based on cellular automata," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 588(C).
    2. Sueyoshi, Fumi & Utsumi, Shinobu & Tanimoto, Jun, 2022. "Underlying social dilemmas in mixed traffic flow with lane changes," Chaos, Solitons & Fractals, Elsevier, vol. 155(C).
    3. Wang, Lichao & Yang, Min & Li, Ye & Hou, Yiqi, 2022. "A model of lane-changing intention induced by deceleration frequency in an automatic driving environment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 604(C).
    4. Tanimoto, Jun & An, Xie, 2019. "Improvement of traffic flux with introduction of a new lane-change protocol supported by Intelligent Traffic System," Chaos, Solitons & Fractals, Elsevier, vol. 122(C), pages 1-5.
    5. Li, Huamin & Zhang, Shun, 2022. "Lane change behavior with uncertainty and fuzziness for human driving vehicles and its simulation in mixed traffic," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 606(C).
    6. Tanimoto, Jun & Futamata, Masanori & Tanaka, Masaki, 2020. "Automated vehicle control systems need to solve social dilemmas to be disseminated," Chaos, Solitons & Fractals, Elsevier, vol. 138(C).

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