STOCHASTIC ROUTE CHOICE SET GENERATION: BEHAVIORAL AND PROBABILISTIC FOUNDATIONS

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Boundedly Rational User Equilibria (BRUE): Mathematical Formulation and Solution Sets (2013, background): “Some researchers also incorporated some thresholds to the discrete choice model to capture the impact of inertia on travellers’ choices (Cantillo et al. 2006, 2007).”
Impact of Route Choice Set on Route Choice Probabilities (2008, background): “Route generation procedures such as branch-and-bound methods (22, 23) or stochastic methods (24, 25) can be used to obtain route sets that include only relevant routes, as shown for the stochastic procedure by Bliemer et al.”
Route choice modeling: past, present and future research directions (2009, methodology): “Some techniques consider variability in the perception of route characteristics (Ramming, 2002; Prato, 2005; Bekhor et al., 2006), while other methods also consider variability in the preferences of travelers (Nielsen, 2000; Bovy and Fiorenzo-Catalano, 2007).”
A GPS-based bicycle route choice model for San Francisco, California (2011, background): “…be unrealistic due to the minimization of a single attribute at a time.4 Combining the benefits of both stochastic path generation and labeling, Bovy & Fiorenzo-Catalano (2007) present a “doubly stochastic” method in which both link attributes and generalized cost coefficients are randomized…”