2015
DOI: 10.1016/j.physa.2015.06.004
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Bifurcation analysis of a speed gradient continuum traffic flow model

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Cited by 30 publications
(6 citation statements)
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“…Table 1. Types of equilibrium points for linear dynamical systems (11). The linear system( 11) is unstable at the saddle point when   z…”
Section: Model and It's Derivationmentioning
confidence: 99%
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“…Table 1. Types of equilibrium points for linear dynamical systems (11). The linear system( 11) is unstable at the saddle point when   z…”
Section: Model and It's Derivationmentioning
confidence: 99%
“…). According to the Hartman-Gorban linearization theorem [11] , when the eigenvalues of nonlinear system have non-zero real parts, that is, the equilibrium point is a non central point, the stability of nonlinear system and linear system at equilibrium point is consistent. It is difficult to appear a central point in the traffic flow model, so we discussed it here.…”
Section: Model and It's Derivationmentioning
confidence: 99%
See 1 more Smart Citation
“…As described in this section, a numerical simulation is performed to study the bifurcation characteristics of uphill and downhill traffic flows. The parameters * ( , ) ( 1.371,0.2) cq  [45] selected to derive the equilibrium point specified in Section 5 are summarized in Table 2. According to the nonlinear stability theory, the stability of the equilibrium point is confirmed.…”
Section: Hopf Bifurcation Of the Traffic Systemmentioning
confidence: 99%
“…The impact of multiple time delays and other model parameters on the Hopf bifurcation in various existing car-following models with delays was discussed. In 2015, Ai et al [45] considered that bifurcation corresponds to traffic jams by the bifurcation analysis for a speed gradient macro continuum traffic flow model. More recently, Miura et al [46] observed macroscopic collective phenomenon that occur only in multi-body systems while studying bifurcations in optimal velocity models.…”
Section: Introductionmentioning
confidence: 99%