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Heterogeneous cellular automata model for straight-through bicycle traffic at signalized intersection

Author

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  • Ren, Gang
  • Jiang, Hang
  • Chen, Jingxu
  • Huang, Zhengfeng
  • Lu, Lili

Abstract

This paper presents a cellular automata (CA) model to elucidate the straight-through movements of the heterogeneous bicycle traffic at signalized intersection. The CA model, via simulation, particularly exposits the dispersion phenomenon existing in the straight-through bicycle traffic. The nonlane-based cycling behavior and diverse bicycle properties are also incorporated in the CA model. A series of simulations are conducted to reveal the travel process, bicycles interaction and influence of the dispersion phenomenon. The simulation results show that the dispersion phenomenon significantly results in more bicycles interactions in terms of spilling maneuvers and overtaking maneuvers during the straight-through movements. Meanwhile, the dispersion phenomenon could contribute to the efficiency of the bicycle traffic, and straight-through bicycles need less time to depart the intersection under the circumstance of dispersion phenomenon. The simulation results are able to provide specific guideline for reasonably utilizing the dispersion phenomenon to improve the operational efficiency of straight-through bicycle traffic.

Suggested Citation

  • Ren, Gang & Jiang, Hang & Chen, Jingxu & Huang, Zhengfeng & Lu, Lili, 2016. "Heterogeneous cellular automata model for straight-through bicycle traffic at signalized intersection," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 70-83.
    • Handle: RePEc:eee:phsmap:v:451:y:2016:i:c:p:70-83
    DOI: 10.1016/j.physa.2015.12.159
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    References listed on IDEAS

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    Cited by:

    1. Jiang, Hang & Ma, Yongjian & Jiang, Lin & Chen, Guozhou & Wang, Dongwei, 2018. "Evaluation of the dispersion effect in through movement bicycles at signalized intersection via cellular automata simulation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 498(C), pages 138-147.
    2. Li, Bing & Wang, Xudong & Feng, Yue & Yin, Juyuan & Gao, Jiandong & Li, Jielong & Bai, Wenqiang, 2025. "Heterogeneous bicycle platoon evolution state estimation model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 661(C).
    3. Luo, Qiang & Yuan, Jie & Chen, Xinqiang & Wu, Shubo & Qu, Zhijian & Tang, Jinjun, 2019. "Analyzing start-up time headway distribution characteristics at signalized intersections," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
    4. Ni, Ying & Li, Yixin & Yuan, Yufei & Sun, Jian, 2023. "An operational simulation framework for modelling the multi-interaction of two-wheelers on mixed-traffic road segments," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 611(C).
    5. Ou, Hui & Tang, Tie-Qiao & Rui, Ying-Xu & Zhou, Jie-Ming, 2018. "Electric bicycle management and control at a signalized intersection," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 1000-1008.
    6. Li, Yixin & Ni, Ying & Sun, Jian & Ma, Zian, 2020. "Modeling the illegal lane-changing behavior of bicycles on road segments: Considering lane-changing categories and bicycle heterogeneity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 541(C).
    7. Chen, Jingxu & Li, Zhibin & Jiang, Hang & Zhu, Senlai & Wang, Wei, 2017. "Simulating the impacts of on-street vehicle parking on traffic operations on urban streets using cellular automation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 468(C), pages 880-891.
    8. Ou, Hui & Tang, Tie-Qiao & Rui, Ying-Xu & Zhou, Jie-Ming, 2018. "Modeling electric bicycle’s abnormal behavior at a signalized intersection," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 511(C), pages 218-231.
    9. Tang, Tie-Qiao & Luo, Xiao-Feng & Zhang, Jian & Chen, Liang, 2018. "Modeling electric bicycle’s lane-changing and retrograde behaviors," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 1377-1386.

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