The impact of self-stabilization on traffic stability considering the current lattice’s historic flux for two-lane freeway
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DOI: 10.1016/j.physa.2018.09.173
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Cited by:
- Zhai, Cong & Zhang, Ronghui & Peng, Tao & Zhong, Changfu & Xu, Hongguo, 2023. "Heterogeneous lattice hydrodynamic model and jamming transition mixed with connected vehicles and human-driven vehicles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 623(C).
- He, Mujun & Zheng, Linjiang & Cao, Wei & Huang, Jing & Liu, Xu & Liu, Weining, 2019. "An enhanced weight-based real-time map matching algorithm for complex urban networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
- Huimin Liu & Rongjun Cheng & Tingliu Xu, 2021. "Analysis of a Novel Two-Dimensional Lattice Hydrodynamic Model Considering Predictive Effect," Mathematics, MDPI, vol. 9(19), pages 1-13, October.
- Kaur, Daljeet & Sharma, Sapna, 2020. "A new two-lane lattice model by considering predictive effect in traffic flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 539(C).
- Zhai, Cong & Wu, Weitiao & Xiao, Yingping, 2023. "The jamming transition of multi-lane lattice hydrodynamic model with passing effect," Chaos, Solitons & Fractals, Elsevier, vol. 171(C).
- Huimin Liu & Yuhong Wang, 2021. "Impact of Strong Wind and Optimal Estimation of Flux Difference Integral in a Lattice Hydrodynamic Model," Mathematics, MDPI, vol. 9(22), pages 1-13, November.
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Keywords
Traffic flow; Lattice hydrodynamic model; Self-stabilization effect; Nonlinear analysis;All these keywords.
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