Dr. Léa Ricard

Léa’s research interests are integer programming and machine learning techniques applied in the field of public transport. Her research project, done under the supervision of Andrea Lodi, Guy Desaulniers and Louis-Martin Rousseau and in collaboration with GIRO Inc., will focus on improving the quality of public transport service. In particular, she will work on the development of data-driven optimization algorithms to improve the timeliness of buses.

Articles

• Ricard, Léa., Desaulniers, G., Lodi, A. & Rousseau, L. (2022) Predicting the probability distribution of bus travel time to measure the reliability of public transport services. IN Transportation Research Part C: Emerging Technologies, 138.103619.
  [Bibtex]

  @article{RICARD2022103619,
  title = {Predicting the probability distribution of bus travel time to measure the reliability of public transport services},
  journal = {Transportation Research Part C: Emerging Technologies},
  volume = {138},
  pages = {103619},
  year = {2022},
  issn = {0968-090X},
  doi = {https://doi.org/10.1016/j.trc.2022.103619},
  url = {https://www.sciencedirect.com/science/article/pii/S0968090X2200064X},
  author = {Léa Ricard and Guy Desaulniers and Andrea Lodi and Louis-Martin Rousseau}
  }