| A nested recursive logit model for route choice analysis T Mai, M Fosgerau, E Frejinger Transportation Research Part B: Methodological 75, 100-112, 2015 | 89 | 2015 |
| Bike route choice modeling using GPS data without choice sets of paths M Zimmermann, T Mai, E Frejinger Transportation research part C: emerging technologies 75, 183-196, 2017 | 85 | 2017 |
| A method of integrating correlation structures for a generalized recursive route choice model T Mai Transportation Research Part B: Methodological 93, 146-161, 2016 | 27 | 2016 |
| A decomposition method for estimating recursive logit based route choice models T Mai, F Bastin, E Frejinger EURO Journal on Transportation and Logistics 7 (3), 253-275, 2018 | 20 | 2018 |
| A misspecification test for logit based route choice models T Mai, E Frejinger, F Bastin Economics of Transportation 4 (4), 215-226, 2015 | 15 | 2015 |
| On Optmization Algorithms for Maximum Likelihood Estimation AT Mai, M Toulouse, F Bastin CIRRELT, Centre interuniversitaire de recherche sur les réseaux d'entreprise …, 2014 | 14 | 2014 |
| On the similarities between random regret minimization and mother logit: The case of recursive route choice models T Mai, F Bastin, E Frejinger Journal of choice modelling 23, 21-33, 2017 | 10 | 2017 |
| Comparing regret minimization and utility maximization for route choice using the recursive logit model T Mai, E Frejinger, F Bastin CIRRELT, Centre interuniversitaire de recherche sur les réseaux d'entreprise …, 2015 | 6 | 2015 |
| A dynamic programming approach for quickly estimating large network-based MEV models T Mai, E Frejinger, M Fosgerau, F Bastin Transportation Research Part B: Methodological 98, 179-197, 2017 | 5 | 2017 |
| Route choice behaviour and travel information in a congested network: Static and dynamic recursive models G de Moraes Ramos, T Mai, W Daamen, E Frejinger, SP Hoogendoorn Transportation Research Part C: Emerging Technologies 114, 681-693, 2020 | 4 | 2020 |
| A multicut outer-approximation approach for competitive facility location under random utilities T Mai, A Lodi European Journal of Operational Research 284 (3), 874-881, 2020 | 3 | 2020 |
| Solving large-scale competitive facility location under random utility maximization models T Mai, A Lodi Technical report, 2017 | 3 | 2017 |
| Dynamic programming approaches for estimating and applying large-scale discrete choice models AT Mai | 3 | 2016 |
| Minimum message length inference of the Poisson and geometric models using heavy-tailed prior distributions CK Wong, E Makalic, DF Schmidt arXiv preprint arXiv:1708.02742, 2017 | 2 | 2017 |
| A dynamic programming approach for quickly estimating large scale MEV models T Mai, E Frejinger, M Fosgerau, F Bastin CIRRELT, Centre interuniversitaire de recherche sur les réseaux d'entreprise …, 2015 | 2 | 2015 |
| On a multistage discrete stochastic optimization problem with stochastic constraints and nested sampling TA Ta, T Mai, F Bastin, P L’Ecuyer Mathematical Programming, 1-37, 2020 | 1 | 2020 |
| Robust multi-product pricing under general extreme value models T Mai, P Jaillet arXiv preprint arXiv:1912.09552, 2019 | 1 | 2019 |
| Generalized Maximum Causal Entropy for Inverse Reinforcement Learning T Mai, K Chan, P Jaillet arXiv preprint arXiv:1911.06928, 2019 | 1 | 2019 |
| Inverse Reinforcement Learning with Missing Data T Mai, QP Nguyen, KH Low, P Jaillet arXiv preprint arXiv:1911.06930, 2019 | 1 | 2019 |
| Transferring Time-Series Discrete Choice to Link-Based Route Choice in Space: Estimating Vehicle Type Preference using Recursive Logit Model F Bastin, Y Liu, C Cirillo, T Mai Transportation Research Record 2672 (49), 81-90, 2018 | 1 | 2018 |
Emma FrejingerAssociate Professor, Department of Computer Science and Operations Research, Université de MontréalVerified email at cirrelt.ca
