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 | 187 | 2017 |
A nested recursive logit model for route choice analysis T Mai, M Fosgerau, E Frejinger Transportation Research Part B: Methodological 75, 100-112, 2015 | 154 | 2015 |
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 | 60 | 2020 |
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 | 51 | 2018 |
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 | 45 | 2020 |
A method of integrating correlation structures for a generalized recursive route choice model T Mai Transportation Research Part B: Methodological 93, 146-161, 2016 | 44 | 2016 |
Submodularity and Local Search Approaches for Maximum Capture Problems under Generalized Extreme Value Models TT Dam, TA Ta, T Mai European Journal of Operational Research, 2021 | 23 | 2021 |
A misspecification test for logit based route choice models T Mai, E Frejinger, F Bastin Economics of Transportation 4 (4), 215-226, 2015 | 18 | 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 | 17 | 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 | 15 | 2017 |
Routing policy choice prediction in a stochastic network: Recursive model and solution algorithm T Mai, X Yu, S Gao, E Frejinger Transportation Research Part B: Methodological 151, 42-58, 2021 | 13 | 2021 |
Undiscounted recursive path choice models: Convergence properties and algorithms T Mai, E Frejinger Transportation Science 56 (6), 1469-1482, 2022 | 12 | 2022 |
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 | 12 | 2017 |
Robust maximum capture facility location under random utility maximization models TT Dam, TA Ta, T Mai European Journal of Operational Research 310 (3), 1128-1150, 2023 | 11 | 2023 |
On a multistage discrete stochastic optimization problem with stochastic constraints and nested sampling TA Ta, T Mai, F Bastin, P L’Ecuyer Mathematical Programming 190, 1-37, 2021 | 7 | 2021 |
A relation analysis of Markov decision process frameworks T Mai, P Jaillet arXiv preprint arXiv:2008.07820, 2020 | 7 | 2020 |
Generalized maximum causal entropy for inverse reinforcement learning T Mai, K Chan, P Jaillet arXiv preprint arXiv:1911.06928, 2019 | 7 | 2019 |
Dynamic programming approaches for estimating and applying large-scale discrete choice models AT Mai | 7 | 2016 |
Robust multi-product pricing under generalized extreme value models T Mai, P Jaillet arXiv preprint arXiv:1912.09552, 2021 | 6 | 2021 |
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 |