Only stochastic models can display spontaneous transitions between homogeneous and coexistence states. The nature of the transition can however also become clear in deterministic models. We will discuss these similarities first for a deterministic car following model and then for deterministic fluid-dynamical models.
For the model of Eq. (2), it has been shown (9) that the homogeneous solution of the model is linearly unstable for densities where , where is the first derivative of the function , and is the gap. The instability sets in for intermediate densities; for low and high densities all models are stable in the homogeneous (laminar or jammed) state. For intermediate densities, one can select the curve and the parameter such that the model either has unstable ranges, or not.
If all parameters including the density are such that the homogeneous solution is not stable, then the system rearranges itself into a pattern of stop-and-go traffic, corresponding to the coexistence state. The density of the laminar and the jammed phase in the coexistence state are independent from the average system density, that is, if in that state system density goes up, it is reflected in the jammed phase using up a larger fraction of space.
The type of the instability is similar to the better-known instability of Eq. (3). However, once the instability is triggered in Eq. (3), it will just grow exponentially, and no stable 2-phase solution is found (e.g. (38)).
Standard Lighthill-Whitham theory, of the type
(21) |
Fluid-dynamical theory, of the type
(22) |
(23) |
As pointed out before, these models are deterministic, so in no situation will these models display stochastic transitions.