Directed by Michel Bierlaire, the Transport and Mobility Laboratory is active in modeling, optimization and simulation of transportation systems, with a specific emphasis on the mobility of individuals.

This webpage contains the academic output of the laboratory. We are committed to open science. Links to the specific documents are available. Also, if you click on the bibtex button next to a reference, it gives you access to the reference in bibtex format, that you can copy and paste to your bibliography file.

• Discrete Choice Analysis: Predicting Individual Behavior and Market Demand, EPFL, Lausanne, Switzerland, Jan 26, 2025 - Jan 30, 2025
  • Role: Founder, organizer and lecturer
• Winter School on Optimization and Operations Research, Hotel Europe, Zinal, Jan 19, 2025 - Jan 24, 2025
  • Role: Organizer

2024

• Haering T., Bierlaire M. (2024). Heuristics and Exact Algorithms for Choice-Based Capacitated and Uncapacitated Continuous Pricing. Report TRANSP-OR 240905bibtex

  
  @TechReport{HaerBier2024,
    author = {Tom Haering and Michel Bierlaire},
    title = {Heuristics and Exact Algorithms for Choice-Based Capacitated and Uncapacitated Continuous Pricing},
    institution = {Transport and Mobility Laboratory, Ecole Polytechnique F\'ed\'erale de Lausanne},
    year = {2024},
    type = {Technical Report},
    number = {TRANSP-OR 240905},
    address = {Lausanne, Switzerland}}}
  

• Torres F., Gendreau M., Rei W. (2024). Pricing Routes: Compensation of Crowd-Drivers. Report TRANSP-OR 240717bibtex

  
  @TechReport{Torres2024_0,
    author = {{Fabian Alejandro} Torres and Michel Gendreau and Walter Rei},
    title = {Pricing Routes: Compensation of Crowd-Drivers},
    institution = {Transport and Mobility Laboratory, Ecole Polytechnique F\'ed\'erale de Lausanne},
    year = {2024},
    type = {Technical Report},
    number = {TRANSP-OR 240717},
    address = {Lausanne, Switzerland}}}
  

• Ilinov P., Matveenko A., Senkov M., Starkov E. (2024). Optimally Biased Expertise. Report TRANSP-OR 240223bibtex

  
  @TechReport{IlinMatvSenkStar24,
    author = {Pavel Ilinov and Andrei Matveenko and Maxim Senkov and Egor Starkov},
    title = {Optimally Biased Expertise},
    institution = {Transport and Mobility Laboratory, Ecole Polytechnique F\'ed\'erale de Lausanne},
    year = {2024},
    type = {Technical Report},
    number = {TRANSP-OR 240223},
    address = {Lausanne, Switzerland}}}
  

• Ortelli N., de Lapparent M., Varotto S., Bierlaire M. (2024). An integrated ordered logit and latent variable model for accident injury severity and risk-taking behavior. Report TRANSP-OR 240101bibtex

  
  @TechReport{OrteLappVaroBier2024,
    author = {Nicola Ortelli and Matthieu {de Lapparent} and Silvia Varotto and Michel Bierlaire},
    title = {An integrated ordered logit and latent variable model for accident injury severity and risk-taking behavior},
    institution = {Transport and Mobility Laboratory, Ecole Polytechnique F\'ed\'erale de Lausanne},
    year = {2024},
    type = {Technical Report},
    number = {TRANSP-OR 240101},
    address = {Lausanne, Switzerland}}}
  

• Ricard L., Bierlaire M. (2024). 50 years of behavioral models for transportation and logistics. Report TRANSP-OR 220408bibtex

  
  @TechReport{RicaBier24,
    author = {L\'ea Ricard and Michel Bierlaire},
    title = {50 years of behavioral models for transportation and logistics},
    institution = {Transport and Mobility Laboratory, Ecole Polytechnique F\'ed\'erale de Lausanne},
    year = {2024},
    type = {Technical Report},
    number = {TRANSP-OR 220408},
    address = {Lausanne, Switzerland}}}
  

2024

• Bierlaire M. Irrational Behavior and Optimization October 16, 2024. Seminar of the Department of Mechanical Engineering, TU Delft, The Netherlands.bibtex

  
  @Misc{delft2024,
    author = {Michel Bierlaire},
    title = {Irrational Behavior and Optimization},
    howpublished = {\url{https://transp-or.epfl.ch/documents/talks/delft2024.pdf}},
    year = {2024},
    note = {Presented at Seminar of the Department of Mechanical Engineering, TU Delft, The Netherlands}}}
  

• Kukic M., Bierlaire M. Hybrid Simulator for Projecting Synthetic Households in Unforeseen Events September 04, 2024. Conference in Emerging Technologies in Transportation Systems (TRC-30), , Heraklion, Crete.bibtex

  
  @Misc{2024Kukic_TRC30,
    author = {Marija Kukic and Michel Bierlaire},
    title = {Hybrid Simulator for Projecting Synthetic Households in Unforeseen Events},
    howpublished = {\url{https://transp-or.epfl.ch/documents/talks/2024Kukic_TRC30.pdf}},
    year = {2024},
    note = {Presented at Conference in Emerging Technologies in Transportation Systems (TRC-30), , Heraklion, Crete}}}
  

• Rezvany N., Hillel T., Bierlaire M. Group decision-mechanisms in activity-based models July 16, 2024. 17th International Conference on Travel Behavior Research (IATBR), Vienna, Austria.bibtex

  
  @Misc{RezHilBie_IATBR2024,
    author = {Negar Rezvany and Tim Hillel and Michel Bierlaire},
    title = {Group decision-mechanisms in activity-based models},
    howpublished = {\url{https://transp-or.epfl.ch/documents/talks/RezHilBie_IATBR2024.pdf}},
    year = {2024},
    note = {Presented at 17th International Conference on Travel Behavior Research (IATBR), Vienna, Austria}}}
  

• Cortes Balcells C., Bierlaire M. Travel Behavior and Individual Choices in Infectious Disease Spread: Enhancing Activity-Based Models with Awareness and Testing Dynamics July 14, 2024. IATBR 2024, Ascona, Switzerland.bibtex

  
  @Misc{CCBMB_IATBR2024,
    author = {Cloe {Cortes Balcells} and Michel Bierlaire},
    title = {Travel Behavior and Individual Choices in Infectious Disease Spread: Enhancing Activity-Based Models with Awareness and Testing Dynamics},
    howpublished = {\url{https://transp-or.epfl.ch/documents/talks/CCBMB_IATBR2024.pdf}},
    year = {2024},
    note = {Presented at IATBR 2024, Ascona, Switzerland}}}
  

• Ortelli N., de Lapparent M., Varotto S., Bierlaire M. An integrated injury severity and risk-taking behavior model for the evaluation of Via Sicura June 19, 2024. 12th Symposium of the European Association for Research in Transportation, Aalto University, Espoo, Finland.bibtex

  
  @Misc{Ortelli_hEART2024,
    author = {Nicola Ortelli and Matthieu {de Lapparent} and Silvia Varotto and Michel Bierlaire},
    title = {An integrated injury severity and risk-taking behavior model for the evaluation of Via Sicura},
    howpublished = {\url{https://transp-or.epfl.ch/documents/talks/Ortelli_hEART2024.pdf}},
    year = {2024},
    note = {Presented at 12th Symposium of the European Association for Research in Transportation, Aalto University, Espoo, Finland}}}
  

Accepted for publication

• Beine M., Bierlaire M., Docquier F. (to appear). New York, Abu Dhabi, London or Stay at Home? Using a Cross-Nested Logit Model to Identify Complex Substitution Patterns in Migration. Journal of Economic Geography (accepted for publication on Jan 16, 2024)bibtex

  
  @Article{BeinBierDocq24,
    author = {Michel Beine and Michel Bierlaire and Fr\'ed\'eric Docquier},
    title = {New York, Abu Dhabi, London or Stay at Home? Using a Cross-Nested Logit Model to Identify Complex Substitution Patterns in Migration},
    journal = {Journal of Economic Geography},
    year = {to appear},
    note = {Accepted on Jan 16, 2024}}}
  

2024

• Cortes Balcells C., Krueger R., Bierlaire M. (2024). Multi-objective Optimization of Activity-Travel Policies for Epidemic Control: Balancing Health and Economic Outcomes on Socio-Economic Segments. Transportation Research Interdisciplinary Perspectives 27 (101183)abstract

  Understanding mobility dynamics and their influence on epidemic spread is crucial for effective management strategies, a concept that, despite its importance, has received limited integration in traditional epidemiological models. This study introduces a novel decision support tool that integrates an activity-based model for mobility dynamics with a multi-group compartmental SIRD (Susceptible–Infected–Recovered–Dead) model for infection transmission. The tool consists of a multi-objective optimization framework that evaluates the trade-offs between public health and economic factors in socioeconomic segments. Our findings show that policies targeted at specific demographic groups significantly improve the efficacy of interventions. The framework provides policymakers with a collection of optimized and customized strategies through a user-friendly dashboard, using a multi-objective modeling approach. This visualization compares potential outcomes along the Pareto frontier, helping to select balanced and effective policies. The proposed model offers a significant step forward in epidemic management, providing a robust platform for data-driven decision making in crisis scenarios.

  bibtex

  
  @Article{CortKrueBier24,
    author = {Cloe {Cortes Balcells} and Rico Krueger and Michel Bierlaire},
    title = {Multi-objective Optimization of Activity-Travel Policies for Epidemic Control: Balancing Health and Economic Outcomes on Socio-Economic Segments},
    journal = {Transportation Research Interdisciplinary Perspectives},
    year = {2024},
    volume = {27},
    number = {101183},
    DOI = {10.1016/j.trip.2024.101183},
    note = {Accepted on Jul 30, 2024}}}
  

• Obrenovic N., Atac S., Bierlaire M. (2024). Light electric vehicle sharing systems: Functional design of a comprehensive decision making solution. Transportation Research Part A: Policy and Practice 182 (104043)abstract

  The functional design of a decision support system for a state-of-the-art vehicle sharing system (VSS) inevitably includes the selection or definition of methodologies for planning and managing the observed VSS. In this paper, our focus is on an innovative VSS that utilizes light electric vehicles. Our goal is to specify the functions of a comprehensive decision making solution for such a VSS through a qualitative and systematic literature and system analysis. To achieve this goal, we rely on the holistic VSS management framework developed in our previous research. As a result of our study, we identify possible solution methodologies or algorithms for implementing functions of the designed decision making solution, and propose the necessary adjustments for their application in the case of light electric vehicles, or note any research gap. With these findings, we provide justified guidance to practitioners in creating these solutions, with the aim of reducing development time.

  bibtex

  
  @Article{ObreAtacBier24,
    author = {Nikola Obrenovic and Selin Atac and Michel Bierlaire},
    title = {Light electric vehicle sharing systems: Functional design of a comprehensive decision making solution},
    journal = {Transportation Research Part A: Policy and Practice},
    year = {2024},
    volume = {182},
    number = {104043},
    DOI = {10.1016/j.tra.2024.104043},
    note = {Accepted on Mar 09, 2024}}}
  

• Ortelli N., de Lapparent M., Bierlaire M. (2024). Resampling Estimation of Discrete Choice Models. Journal of Choice Modelling 50 (100467)abstract

  In the context of discrete choice modeling, the extraction of potential behavioral insights from large datasets is often limited by the poor scalability of maximum likelihood estimation. This paper proposes a simple and fast dataset-reduction method that is specifically designed to preserve the richness of observations originally present in a dataset, while reducing the computational complexity of the estimation process. Our approach, called LSH-DR, leverages locality-sensitive hashing to create homogeneous clusters, from which representative observations are then sampled and weighted. We demonstrate the efficacy of our approach by applying it on a real-world mode choice dataset: the obtained results show that the samples generated by LSH-DR allow for substantial savings in estimation time while preserving estimation efficiency at little cost.

  bibtex

  
  @Article{OrteLappBier2024,
    author = {Nicola Ortelli and Matthieu {de Lapparent} and Michel Bierlaire},
    title = {Resampling Estimation of Discrete Choice Models},
    journal = {Journal of Choice Modelling},
    year = {2024},
    volume = {50},
    number = {100467},
    DOI = {10.1016/j.jocm.2023.100467},
    note = {Accepted on Dec 20, 2023}}}
  

• Kukic M., Li X., Bierlaire M. (2024). One-step Gibbs sampling for the generation of synthetic households. Transportation Research Part C: Emerging Technologies 166 (104770)bibtex

  
  @Article{KukiXinlBier24,
    author = {Marija Kukic and Xinling Li and Michel Bierlaire},
    title = {One-step Gibbs sampling for the generation of synthetic households},
    journal = {Transportation Research Part C: Emerging Technologies},
    year = {2024},
    volume = {166},
    number = {104770},
    DOI = {10.1016/j.trc.2024.104770},
    note = {Accepted on Jul 14, 2024}}}