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An asymmetric cellular automata model for heterogeneous traffic flow on freeways with a climbing lane

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  • Yang, Liu
  • Zheng, Jianlong
  • Cheng, Yang
  • Ran, Bin

Abstract

Traffic congestions frequently occur on uphill segments of four-lane freeways in China, which have become typical bottlenecks. Therefore, this paper focuses on the analysis, modeling, and simulation of heterogeneous traffic flow on uphill, in order to understand and eliminate such bottlenecks. The traffic characteristics were obtained from the realistic data, and a cellular automata model for longitudinal driving and lane changing was proposed and validated. The longitudinal driving rules were established based on the Nagel–Scheckenberg model. Lane changing was classified into active, inactive, and mandatory types which were used to clearly describe asymmetric lane-changing rules on two-lane segments and uphill with a climbing lane. The expressions of lane-changing motivation and safety were established. The measured results show that cars and 6-axle articulated trucks are the main types, and the speed difference between them is large. For normal slopes with a high truck ratio, even the total traffic is light, cars are unable to run freely. The simulated results prove that the realistic lane changing is asymmetric. The effects of uphill and climbing lanes on traffic flow are related to density. Setting up a climbing lane can alleviate or eliminate the uphill bottleneck effect. A critical density for distinguishing free flow from non-free flow does not exist on two-lane segments but exists on the uphill with a climbing lane. Vehicle segregation is significant under asymmetric lane-changing rules. The segregation degree is related to the traffic flow state.

Suggested Citation

  • Yang, Liu & Zheng, Jianlong & Cheng, Yang & Ran, Bin, 2019. "An asymmetric cellular automata model for heterogeneous traffic flow on freeways with a climbing lane," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
    • Handle: RePEc:eee:phsmap:v:535:y:2019:i:c:s0378437119313184
    DOI: 10.1016/j.physa.2019.122277
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    References listed on IDEAS

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    1. Li, Xin & Li, Xingang & Xiao, Yao & Jia, Bin, 2016. "Modeling mechanical restriction differences between car and heavy truck in two-lane cellular automata traffic flow model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 49-62.
    2. Rickert, M. & Nagel, K. & Schreckenberg, M. & Latour, A., 1996. "Two lane traffic simulations using cellular automata," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 231(4), pages 534-550.
    3. Hou, Qinzhong & Meng, Xianghai & Huo, Xiaoyan & Cheng, Yuxing & Leng, Junqiang, 2019. "Effects of freeway climbing lane on crash frequency: Application of propensity scores and potential outcomes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 517(C), pages 246-256.
    4. Denos C. Gazis & Robert Herman, 1992. "The Moving and “Phantom” Bottlenecks," Transportation Science, INFORMS, vol. 26(3), pages 223-229, August.
    5. Li, Xin-Gang & Jia, Bin & Gao, Zi-You & Jiang, Rui, 2006. "A realistic two-lane cellular automata traffic model considering aggressive lane-changing behavior of fast vehicle," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 367(C), pages 479-486.
    6. Jia, Bin & Jiang, Rui & Wu, Qing-Song & Hu, Mao-bin, 2005. "Honk effect in the two-lane cellular automaton model for traffic flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 348(C), pages 544-552.
    7. Chowdhury, Debashish & Wolf, Dietrich E. & Schreckenberg, Michael, 1997. "Particle hopping models for two-lane traffic with two kinds of vehicles: Effects of lane-changing rules," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 235(3), pages 417-439.
    8. X. G. Li & Z. Y. Gao & B. Jia & R. Jiang, 2006. "Segregation effect in symmetric cellular automata model for two-lane mixed traffic," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 54(3), pages 385-391, December.
    9. Knospe, Wolfgang & Santen, Ludger & Schadschneider, Andreas & Schreckenberg, Michael, 1999. "Disorder effects in cellular automata for two-lane traffic," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 265(3), pages 614-633.
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    Cited by:

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    2. 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).
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    5. Lyu, Zelin & Hu, Xiaojian & Zhang, Fang & Liu, Tenghui & Cui, Zhiwei, 2022. "Heterogeneous traffic flow characteristics on the highway with a climbing lane under different truck percentages: The framework of Kerner’s three-phase traffic theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 587(C).
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    7. Shang, Xue-Cheng & Li, Xin-Gang & Xie, Dong-Fan & Jia, Bin & Jiang, Rui, 2020. "Two-lane traffic flow model based on regular hexagonal cells with realistic lane changing behavior," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 560(C).

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