How do we estimate and apply route choices models that are:
- behaviorally consistent
- mathematically consistant [ i.e. they don't exhibit the "Valencia Paradox" ]
- computationally feasible [ i.e. can be run within the scope of a travel demand model ], and
- are tractable.
- Fosgerau, M.; Frejinger, E. & Karlstrom, A. (2013). A link based network route choice model with unrestricted choice set. Transportation Research Part B: Methodological, 56, 70-80.
- Frejinger, E.; Bierlaire, M.; & Ben-Akiva, M. (2009). Sampling of alternatives for route choice modeling. Transportation Research Part B: Methodological, 43(10), 984-994.
- Nassir, N.; Ziebarth J.; Sall, E. & Zorn, L. (2014). Choice set generation algorithm suitable for measuring route choice accessibility. Transportation Research Record, 2430, 170-181.
- Mai, T.; Fosgerau; M., & Frejinger, E. (2015). A nested recursive logit model for route choice analysis. Transportation Research Part B: Methodological, 75, 100-112.