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Mai, T., & Lodi, A. (2020). A multicut outer-approximation approach for competitive facility location under random utilities. European Journal of Operational Research, 284(3), 874-881. External link
Mai, T., & Lodi, A. (2019). An Algorithm for Assortment Optimization Under Parametric Discrete Choice Models. Social Science Research Network, 37 pages. External link
Mai, T., Bastin, F., & Frejinger, E. (2018). A decomposition method for estimating recursive logit based route choice models. EURO Journal on Transportation and Logistics, 7(3), 253-275. External link
Mai, T., Frejinger, E., Fosgerau, M., & Bastin, F. (2017). A dynamic programming approach for quickly estimating large network-based MEV models. Transportation Research Part B: Methodological, 98, 179-197. External link
Mai, T., Bastin, F., & Frejinger, E. (2017). On the similarities between random regret minimization and mother logit: The case of recursive route choice models. Journal of Choice Modelling, 23, 21-33. External link
Mai, T., & Lodi, A. (2017). Solving large-scale competitive facility location under random utility maximization models. (Technical Report n° DS4DM-2017-007). External link
Mai, T. (2016). A method of integrating correlation structures for a generalized recursive route choice model. Transportation Research Part B: Methodological, 93, Part A, 146-161. External link
Zimmermann, M., Mai, T., & Frejinger, E. (2017). Bike route choice modeling using GPS data without choice sets of paths. Transportation Research Part C: Emerging Technologies, 75, 183-196. External link
Zimmermann, M., Mai, T., & Frejinger, E. (2016). Bike route choice modeling using GPS data without choice sets of paths. (Technical Report n° CIRRELT-2016-49). External link
