A discrete dynamical system of formulating traffic assignment: Revisiting Smith's model. (October 2016)

• Record Type: Journal Article
• Authors: Guo, Ren-Yong; Huang, Hai-Jun
• Is Part Of: Transportation research. Volume 71(2016)
• Page Start: 122
• Page End: 142
• Publication Date: 2016-10
• Subjects: Traffic assignment -- Dynamical system -- User equilibrium -- Convergence; Transportation -- Periodicals; Transportation -- Technological innovations -- Periodicals; 388.011
• DOI: 10.1016/j.trc.2016.07.005
• Languages: English
• ISSNs: 0968-090X

Abstract

Highlights: Formulate day-to-day evolution of traffic flows in non-equilibrium. The stationary state can be equivalent to three categories of equilibrium. Analyze the convergence of day-to-day evolution trajectory of flows. Present numerical examples to show application and properties of the system. Abstract: Through relaxing the behavior assumption adopted in Smith's model (Smith, 1984), we propose a discrete dynamical system to formulate the day-to-day evolution process of traffic flows from a non-equilibrium state to an equilibrium state. 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). These equivalence properties indicate that, to make day-to-day flows evolve to equilibrium flows, it is not necessary for travelers to choose their routes based on actual travel costs of the previous day. Day-to-day flows can still evolve to equilibrium flows provided that travelers choose their routes based on estimated travel costs which satisfy these preconditions. We also show that, under a more general assumption than the monotonicity of route cost function, the trajectory of the dynamical system converges to a set of equilibrium flows by reasonably setting these parameters in the dynamical system. Finally, numerical examples are presented to demonstrate the application and properties of the dynamical system. The study is helpful for understanding various processes of forming traffic jam and designing an algorithm for calculating equilibrium flows.