Tien Mai
Title
Cited by
Cited by
Year
A nested recursive logit model for route choice analysis
T Mai, M Fosgerau, E Frejinger
Transportation Research Part B: Methodological 75, 100-112, 2015
892015
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
852017
A method of integrating correlation structures for a generalized recursive route choice model
T Mai
Transportation Research Part B: Methodological 93, 146-161, 2016
272016
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
202018
A misspecification test for logit based route choice models
T Mai, E Frejinger, F Bastin
Economics of Transportation 4 (4), 215-226, 2015
152015
On Optmization Algorithms for Maximum Likelihood Estimation
AT Mai, M Toulouse, F Bastin
CIRRELT, Centre interuniversitaire de recherche sur les réseaux d'entreprise …, 2014
142014
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
102017
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
62015
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
52017
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
42020
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
32020
Solving large-scale competitive facility location under random utility maximization models
T Mai, A Lodi
Technical report, 2017
32017
Dynamic programming approaches for estimating and applying large-scale discrete choice models
AT Mai
32016
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
22017
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
22015
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
12020
Robust multi-product pricing under general extreme value models
T Mai, P Jaillet
arXiv preprint arXiv:1912.09552, 2019
12019
Generalized Maximum Causal Entropy for Inverse Reinforcement Learning
T Mai, K Chan, P Jaillet
arXiv preprint arXiv:1911.06928, 2019
12019
Inverse Reinforcement Learning with Missing Data
T Mai, QP Nguyen, KH Low, P Jaillet
arXiv preprint arXiv:1911.06930, 2019
12019
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
12018
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Articles 1–20