Research

TRANSP-OR: Meritxell Pacheco

Meritxell Pacheco

This page reports only the academic work registered in the databases of the Transport and Mobility Laboratory, and is not necessarily a comprehensive list of the work by Meritxell Pacheco.

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Meritxell Pacheco

      Papers in conference proceedings

      • Pacheco, M., Gendron, B., Lurkin, V., Sharif Azadeh, S., and Bierlaire, M. (2018). A Lagrangian relaxation technique for the demand-based benefit maximization problem. Proceedings of the 18th Swiss Transport Research Conference (STRC) 16-18 May, 2018.
      • Pacheco, M., Sharif Azadeh, S., Bierlaire, M., and Gendron, B. (2017). Integrating advanced demand models within the framework of mixed integer linear problems: A Lagrangian relaxation method for the uncapacitated case. Proceedings of the 17th Swiss Transport Research Conference (STRC) 17-19 May, 2017.
      • Pacheco, M., Sharif Azadeh, S., and Bierlaire, M. (2016). A new mathematical representation of demand using choice-based optimization method. Proceedings of the 16th Swiss Transport Research Conference (STRC) 18-20 May, 2016.

      Technical reports

      Seminars

      Awards

      Research projects

      Incorporating advanced behavioral models in mixed integer linear optimization
      Sponsor: Swiss National Science Foundation
      Team: Michel Bierlaire (PI), Shadi Sharif Azadeh (PM), Meritxell Pacheco
      Period: April 01, 2016-March 31, 2019
      Discrete choice models are used for detailed representation of the "demand". However, their complexity makes mathematical formulations highly non convex in the explanatory variables. On the other hand, Mixed Integer Linear Programs (MILP) are optimization problems with discrete variables that are used in many applications to design and configure the "supply". In this project, we propose a new modeling framework that allows to include any random utility model in a mixed integer optimization formulation. The heterogeneity of demand is captured within the general choice model framework and the offers are tailored in a way that is beneficial for users as wells as providers. The main objective of the project is to obtain a framework that is both general, so that it can be applied in many applications, and operational, so that it can be used in practice.

      Regular teaching

      Mathematical modeling of behavior
      Year: Fall 2020
      Section(s): Mathematics, Master in Financial Engineering
      Lecturers: Michel Bierlaire, Meritxell Pacheco, Tim Hillel
      Teaching assistant: Melvin Wong, Rico Krueger, Janody Pougala, Nicola Ortelli
      Webpage: https://moodle.epfl.ch/course/view.php?id=1001
      Mathematical modeling of behavior
      Year: Fall 2019
      Section(s): Mathematics, Master in Financial Engineering
      Lecturer: Michel Bierlaire
      Teaching assistant: Tim Hillel, Meritxell Pacheco, Janody Pougala, Nicola Ortelli
      Webpage: https://moodle.epfl.ch/course/view.php?id=1001
      Mathematical modeling of behavior
      Year: Fall 2018
      Section(s): Mathematics, Master in Financial Engineering
      Lecturer: Michel Bierlaire
      Teaching assistant: Meritxell Pacheco, Yuki Oyama, Nicholas Molyneaux
      Webpage: http://transp-or.epfl.ch/courses/dca2018
      Mathematical modeling of behavior
      Year: Fall 2017
      Section(s): Mathematics, Master in Financial Engineering
      Lecturer: Michel Bierlaire
      Teaching assistant: Meritxell Pacheco, Anna Fernandez Antolin, Evanthia Kazagli, Yuki Oyama
      Webpage: http://transp-or.epfl.ch/courses/dca2017
      Decision-aid methodologies in transportation
      Year: Spring 2017
      Section(s): Civil Engineering
      Lecturers: Virginie Lurkin, Mor Kaspi
      Teaching assistant: Tomás Robenek, Stefan Binder, Iliya Markov, Meritxell Pacheco
      Webpage: http://moodle.epfl.ch/enrol/index.php?id=15132
      Mathematical modeling of behavior
      Year: Fall 2016
      Section(s): Mathematics, Master in Financial Engineering
      Lecturer: Michel Bierlaire
      Teaching assistant: Evanthia Kazagli, Anna Fernandez Antolin, Meritxell Pacheco
      Webpage: http://transp-or.epfl.ch/courses/dca2016

      Miscellaneous lectures

      Bayesian Estimation; Individual Prediction
      Program: Discrete Choice Analysis: Predicting Individual Behavior and Market Demand, March 27, 2019
      School: EPFL
      Lecturer: Rico Krueger
      Assistants: Tim Hillel, Selin Atac, Meritxell Pacheco
      Logit Mixtures; Combining RP and SP data
      Program: Discrete Choice Analysis: Predicting Individual Behavior and Market Demand, March 26, 2019
      School: EPFL
      Lecturer: Meritxell Pacheco
      Assistants: Tim Hillel, Rico Krueger
      Nested Logit; Aggregate Forecasting
      Program: Discrete Choice Analysis: Predicting Individual Behavior and Market Demand, March 25, 2019
      School: EPFL
      Lecturer: Selin Atac
      Assistants: Meritxell Pacheco, Yuki Oyama, Tim Hillel
      Introduction; Logit Estimation; Specification Testing
      Program: Discrete Choice Analysis: Predicting Individual Behavior and Market Demand, March 24, 2019
      School: EPFL
      Lecturer: Tim Hillel
      Assistants: Meritxell Pacheco, Yuki Oyama, Selin Atac
      Logit Mixture; Hybrid Choice Models
      Program: Discrete Choice Analysis: Predicting Demand and Market Shares, February 14, 2018
      School: EPFL
      Lecturer: Meritxell Pacheco
      Assistants: Anna Fernandez Antolin, Yuki Oyama, Maëlle Zimmermann
      Forecasting; Combining RP & SP
      Program: Discrete Choice Analysis: Predicting Demand and Market Shares, February 13, 2018
      School: EPFL
      Lecturer: Meritxell Pacheco
      Assistants: Anna Fernandez Antolin, Yuki Oyama, Maëlle Zimmermann
      Specification Testing; Nested Logit
      Program: Discrete Choice Analysis: Predicting Demand and Market Shares, February 12, 2018
      School: EPFL
      Lecturer: Anna Fernandez Antolin
      Assistants: Meritxell Pacheco, Yuki Oyama, Maëlle Zimmermann
      Introduction; Logit Estimation
      Program: Discrete Choice Analysis: Predicting Demand and Market Shares, February 11, 2018
      School: EPFL
      Lecturer: Anna Fernandez Antolin
      Assistants: Meritxell Pacheco, Yuki Oyama, Maëlle Zimmermann
      Hybrid Choice Models (ctd)
      Program: Discrete Choice Analysis: Predicting Demand and Market Shares, February 16, 2017-February 16, 2017
      School: EPFL
      Lecturer: Matthieu de Lapparent
      Assistants: Evanthia Kazagli, Meritxell Pacheco, Anna Fernandez Antolin
      Logit Mixture; Hybrid Choice Models
      Program: Discrete Choice Analysis: Predicting Demand and Market Shares, February 15, 2017-February 15, 2017
      School: EPFL
      Lecturer: Matthieu de Lapparent
      Assistants: Evanthia Kazagli, Meritxell Pacheco, Anna Fernandez Antolin
      Forecasting; Combining RP and SP
      Program: Discrete Choice Analysis: Predicting Demand and Market Shares, February 14, 2017-February 14, 2017
      School: EPFL
      Lecturer: Meritxell Pacheco
      Assistants: Evanthia Kazagli, Matthieu de Lapparent, Anna Fernandez Antolin
      Nested logit; Specification testing
      Program: Discrete Choice Analysis: Predicting Demand and Market Shares, February 13, 2017-February 13, 2017
      School: EPFL
      Lecturer: Evanthia Kazagli
      Assistants: Meritxell Pacheco, Matthieu de Lapparent, Anna Fernandez Antolin
      Introduction; Logit estimation
      Program: Discrete Choice Analysis: Predicting Demand and Market Shares, February 12, 2017-February 12, 2017
      School: EPFL
      Lecturer: Evanthia Kazagli
      Assistants: Meritxell Pacheco, Matthieu de Lapparent, Anna Fernandez Antolin
      Introduction; binary choice
      Program: Discrete Choice Analysis: Predicting Demand and Market Shares, March 20, 2016-March 20, 2016
      School: EPFL
      Lecturer: Evanthia Kazagli
      Assistants: Anna Fernandez Antolin, Meritxell Pacheco

      Project supervision

      Masters theses

      René Lugrin
      Section: Civil Engineering
      Investigations on a pilot-survey for modelling mobility behaviours in Switzerland
      Supervision:Meritxell Pacheco, Michel Bierlaire
      Expert: Sylvie Garda
      23/09/2019-24/01/2020
      Oliver Buschor
      Section: Civil Engineering
      Disruption-caused railway timetable rescheduling problem and its solution
      Supervision:Meritxell Pacheco, Stefano Bortolomiol, Michel Bierlaire
      Expert: Hellwig Matthias
      01/08/2019-20/12/2019

      Semester projects

      • Welfare-maximizing design of a transportation system, Benjamin Nicolas--Noir, May 29, 2020
      • Disruption-caused railway timetable rescheduling problem and its solution, Oliver Mathias Buschor, June 21, 2019
      • Passenger satisfaction maximization under budget constraints, Tatiana Moavensadeh-Ghasnavi, June 03, 2019
      • Locating charging station for electric taxis, Oliver Mathias Buschor, Younes Bensaid, December 21, 2018
      • Optimization of school accessibility in developing countries, Yassine El Ouazzani, Oliver Mathias Buschor (GCMA3), December 21, 2018
      • Design of a stated-preferences survey for a high-speed vacuum transportation mode, Thibaut Richard et Martí Montesinos Ferrer, June 20, 2018
      • Safer schools thanks to an improved transport access in developing countries, Zora Oswald, June 16, 2018
      • Integrating demand and supply in the context of airlines, Thibaut Richard et Gabriel Curis (GC), January 24, 2018
      • Modeling purchases of new cars for 2015: a comparison between countries, Martí Montesinos (GC), June 19, 2017
      • Investigating the role of attitudes in the purchase of new cars, Nicola Ortelli, January 23, 2017
      • Pricing and capacity allocation strategies for a demand-based revenues maximization problem, Jonathan Lachkar (GC), December 23, 2016