photoTien
Dr. Tien Mai
Polytechnique Montréal

Tien Mai is currently a postdoctoral researcher under the Canada Excellence Research Chair in Data Science for Real-Time Decision-Making at Polytechnique Montréal. He holds a Ph.D. (2016) and M.Sc (2013) in Computer Science from the Department of Computer Science and Operations Research, Université de Montréal. His research concerns developing demand models (discrete choice, route choice models) and optimization techniques with applications to transportation systems.

Dr. Tien is the winner of the 2016 TSL-INFORMS Dissertation Prize (the oldest and most prestigious honor for doctoral dissertations in the transportation science and logistics area).

Postdoctoral project (temporary) : Bayesian optimization of expensive cost functions with applications to large-scale demand modeling and machine learning.

Publications

Journal papers

T. Mai, F. Bastin, E. Frejinger, 2017. On the similarities between random regret minimization and mother logit: The case of recursive route choice models. (23), 21-23, 2017 http://dx.doi.org/10.1016/j.trb.2016.12.017

T. Mai, E. Frejinger, M. Fosgerau, F. Bastin, 2017. A dynamic programming approach for quickly estimating large network-based MEV models. (98), 179-197, 2017 http://dx.doi.org/10.1016/j.trb.2016.12.017

M. Zimmermann, T. Mai, E. Frejinger, 2017. Bike route choice modeling using GPS data without choice sets of paths. Transportation Research Part C: Emerging Technologies (75), 183-196 February 2017. http://dx.doi.org/10.1016/j.trc.2016.12.009

T. Mai, F. Bastin, E. Frejinger, 2016. A Decomposition Method for Estimating Recursive Logit Based Route Choice Models. EURO Journal on Transportation and Logistics. pp 1 – 23. doi:10.1007/s13676-016-0102-3

Mai Tien, 2016. A method of intergrating correlation structures for a generalized recursive route choice model, Transportation Research Part B, 93(1): p.146-161, 2016.

doi.org/10.1016/j.trb.2016.07.016

Mai T., Frejinger, E., Bastin, F., 2015. A misspecification test for logit based route choice models, Economics of Transportation, 4(4):p.215-226.

Mai T., Fosgereau M., Frejinger E., A nested recursive logit for route choice analysis, Transportation Research Part B, 71(1):p.100-112, 2015.

Conference papers

Zimmermann M., Mai T., Frejinger E. (2016). Bike route choice modeling without path choice sets: estimation, prediction of link flows and accessibility measure, the 5rd Symposium of the European, Association for Research in Transportation, Delft, the Netherlands, September 14 – 16.

Mai T., Frejinger E., Speeding up the computation of the value functions for recursive route choice models, the 5rd Symposium of the European Association for Research in Transportation (hEART), Delft, the Netherlands, 14 – 16 September, 2016.

Mai T., Frejinger E., Fosgereau M., Bastin F. A dynamic programming approach for quickly estimating large-scale MEV models, the 9th Triennial Symposium on Transportation Analysis, Aruba, June 2016.

Mai T. A cross-nested recursive logit model for route choice analysis, The 4rd Symposium of the European Association for Research in Transportation (hEART), DTU Transport, Denmark, September 10-12, 2015.

Mai T., Frejinger E., Fosgereau M., Bastin F. A dynamic discrete choice approach for static discrete choice models, the 4th International Choice Modeling Conference (ICMC), Austin, Texas, U.S.A, May 2015.

Yu X., Mai T., Gao S., Frejinger E. A Recursive Logit Model for Routing Policy Choice, the 4th International Choice Modeling Conference (ICMC), Austin, Texas, U.S.A, May 2015.

Mai T., Frejinger E., Bastin F.Comparing regret minimization and utility maximization for route choice using the recursive logit model, the 4th International Choice Modeling Conference (ICMC), Austin, Texas, U.S.A, May 2015.

Mai T., Frejinger E., Bastin F., Information matrix test for route choice models, the 3rd Symposium of the European Association for Research in Transportation (hEART), Leeds, United Kingdom, September 10-12, 2014.

Mai T., Fosgereau M., Frejinger E., A nested recursive logit model for route choice analysis, the 3rd Symposium of the European Association for Research in Transportation (hEART), Leeds, United Kingdom, September 10-12, 2014, (Best Paper Award).

Working papers

T. Mai, A. Lodi, 2017. Solving Large-Scale Competitive Facility Location under Random Utility Maximization Models. DS4DM-2017-007.