The phrase "a stochastic user" is correct and usable in written English.
It can be used in contexts related to statistics, probability, or user behavior analysis, where randomness or variability is a factor.
Example: "In our study, we analyzed the behavior of a stochastic user to understand how random interactions affect overall engagement."
Alternatives: "a random user" or "a probabilistic user".
Each feasible toll-charge function is evaluated by a probit-based SUE (Stochastic User Equilibrium) problem with elastic demand, asymmetric link travel time functions, and continuously distributed VOT, solved by a convergent Cost Averaging (CA) method.
Additionally, by considering stochastic user's mobility, a high degree of offset among new users' positions can take place, with a number of users slightly improving their transmission (e.g., slightly better channel gain conditions) and counterbalance any negative transmission impact from the users who deteriorate their transmission capabilities in the new positions.
Depending on certain preconditions, the equilibrium state can be equivalent to a Wardrop user equilibrium (UE), Logit-based stochastic user equilibrium (SUE), or boundedly rational user equilibrium (BRUE).
A route choice behavior model considering information guidance is formulated as a mathematical program based on the mixed stochastic user equilibrium modeling approach in conjunction with the assumption is that two classes of travelers made their route choices in a Logit-based stochastic manner.
And its applications can be found in inventory or pricing competition among several firms that provide substitutable goods or services (see [16] and [17]), a supply chain network model (see [18]), stochastic user equilibrium traffic network (see [19]) and wireless network (see [20]).
Moreover, delays and nonlinearities result in an extended domain of bistability where the stochastic user equilibrium coexists with stable and unstable oscillations.
Hanabusa and Horiguchi [4] developed a two-step model based on traffic assignment with stochastic user equilibrium and entropy maximization.
Stochastic user equilibrium assignment is formulated as an equivalent minimisation problem and solved by way of the Path Flow Estimator (PFE).
This paper presents a formulation of the multiple user class, variable demand, probit stochastic user equilibrium model (SUE).
We propose a new class of path-based solution algorithms to solve the Restricted Stochastic User Equilibrium (RSUE), as introduced in Watling et al. (2015).
