Highlights A class of path-based algorithms for Restricted Stochastic User Equilibrium (RSUE). We show how existing SUE-based algorithms may be modified for RSUE. We show how existing DUE-based path-swapping algorithms can be applied. Proposal of a two-element relative gap function for RSUE solutions. Numerical tests on Sioux Falls and a large-scale, real-life network.
Abstract 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). The class allows a flexible specification of how the choice sets are systematically grown by considering congestion effects and how the flows are allocated among routes. The specification allows adapting traditional path-based stochastic user equilibrium flow allocation methods (originally designed for pre-specified choice sets) to the generic solution algorithm. We also propose a cost transformation function and show that by using this we can, for certain Logit-type choice models, modify existing path-based Deterministic User Equilibrium solution methods to compute RSUE solutions. The transformation function also leads to a two-part relative gap measure for consistently monitoring convergence to a RSUE solution. Numerical tests are reported on two real-life cases, in which we explore convergence patterns and choice set composition and size, for alternative specifications of the RSUE model and solution algorithm.
Stochastic user equilibrium with equilibrated choice sets: Part II – Solving the restricted SUE for the logit family
Transportation Research Part B: Methodological ; 77 ; 146-165
2015-03-13
20 pages
Article (Journal)
Electronic Resource
English
C-logit stochastic user equilibrium model with elastic demand
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