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This graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
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A word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
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