Bifurcation analysis of traffic flow through an improved car-following model considering the time-delayed velocity difference
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Publication:2157940
DOI10.1016/j.physa.2018.09.012OpenAlexW2891483954WikidataQ129272603 ScholiaQ129272603MaRDI QIDQ2157940
Publication date: 22 July 2022
Published in: Physica A (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.physa.2018.09.012
Related Items (16)
Dynamical analysis for a car-following model with delayed-feedback control of both velocity and acceleration differences ⋮ Feedback control caused by honk effect incorporating the driver's characteristics in lattice hydrodynamic model ⋮ An extended car-following model considering multi-anticipative average velocity effect under V2V environment ⋮ The impact of the density difference memory integral on traffic stability in two-lane lattice hydrodynamic model ⋮ Dynamic optimal control at Hopf bifurcation of a Newman-Watts model of small-world networks via a new \(PD^{\frac{1}{n}}\) scheme ⋮ The stabilization effect of self-delayed flux integral for two-lane lattice hydrodynamic model ⋮ Energy consumption in a new lattice hydrodynamic model based on the delayed effect of collaborative information transmission under V2X environment ⋮ Stability analysis of delayed-feedback control effect in the continuum traffic flow of autonomous vehicles without V2I communication ⋮ Optimization of vehicle structural parameters considering stability improvement ⋮ Bifurcation analysis and control strategy for a car-following model considering jerk behavior ⋮ Bifurcation analysis of a new stochastic traffic flow model ⋮ Stochastic dynamics of a discrete-time car-following model and its time-delayed feedback control ⋮ Analysis and simulation of vehicle following behavior with consideration of multiple time delays ⋮ An improved car-following model accounting for the time-delayed velocity difference and backward looking effect ⋮ Dynamical analysis of an optimal velocity model with time-delayed feedback control ⋮ Bifurcation control of optimal velocity model through anticipated effect and response time-delay feedback methods
Cites Work
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