Michel Bierlaire Explained

Michel Bierlaire
Birth Place:Namur, Belgium
Citizenship:Belgium
Switzerland
Website:https://www.epfl.ch/labs/transp-or/
Education:Mathematics
Alma Mater:University of Namur
Thesis Title:Mathematical models for transportation demand analysis
Thesis Year:1996
Doctoral Advisor:Philippe Toint
Discipline:Mathematics
Sub Discipline:Transport optimization
Workplaces:EPFL (École Polytechnique Fédérale de Lausanne)
Doctoral Students:Carolina Osorio
Main Interests:Discrete choice models
Operations research
Simulation
Intelligent transportation systems
Travel demand modeling

Michel Bierlaire (born 1967 in Namur, Belgium) is a Belgian-Swiss applied mathematician specialized in transportation modeling and optimization. He is a professor at EPFL (École Polytechnique Fédérale de Lausanne) and the head of the Transport and Mobility Laboratory.[1]

Career

Bierlaire received a PhD in mathematics from University of Namur in 1996 for his thesis on "Mathematical models for transportation demand analysis" that was supervised by Philippe Toint. He then joined as a research associate the Intelligent Transportation Systems Program at the Massachusetts Institute of Technology where he worked on the design and development of DynaMIT, a real-time software simulation tool designed to "effectively support the operation of Advanced Traveler Information Systems (ATIS) and Advanced Traffic Management Systems (ATMS)."[2] [3]

In 1998, he joined EPFL first as a senior scientist (Maître d'enseignement et de recherche) at the Operations Research Group at the Institute of Mathematics. In 2006, he was made associate professor at the EPFL's School of Architecture, Civil and Environmental Engineering and became the founding director of the Transport and Mobility Laboratory. Since 2012, he has been a full professor at the EPFL.[4] [5]

At the EPFL, he created in 2010 the Doctoral Program in Civil and Environmental Engineering,[6] that he chaired until 2017.[7] In 2012, Bierlaire founded hEART, the European Association for Research in Transportation that he chaired from 2012 to 2015.[8] [9]

Research

Bierlaire's research targets at developing mathematical models replicating the complexity of mobility behavior of individuals and goods for all modes of transportation.[10] [11] He aims to develop solutions to transportation problems that also include the implications of mobility on land use,[12] economics,[13] and the environment,[14] [15] among others.

His work focuses on modelling travel behaviours by employing choice and activity-based models;[16] on developing operations research models based on vehicle routing, scheduling, and timetabling;[17] [18] [19] and on the fusion of those models.[20] His further interests encompass intelligent transportation systems[21] and the reproduction of pedestrian flow patterns.[22]

He creates and tests mathematical models and algorithms for applications in operations research that include continuous and discrete optimization,[23] queuing theory,[24] graphs, and simulation.[25] Apart from implementations in transportation demand analysis, his work also finds active use in other domains such as marketing and image analysis.

His multidisciplinary research draws next to mathematics also on computer vision, image analysis, hospital management and marketing.[26] [27] [28]

Biogeme

Bierlaire is the lead developer of Biogeme, an open source project that performs the maximum likelihood estimation of parametric discrete choice models. It is working within the framework of Pandas, a Python data analysis library.[29]

Teaching

Bierlaire has developed several online courses, one discrete choice models,[30] and three on optimization.[31] [32] [33] Together with Moshe Ben-Akiva at MIT, Daniel McFadden and Joan Walker, both at University of California, Berkeley, he is offering a course on "Discrete Choice Analysis: Predicting Individual Behaviour and Market Demand" that is designed for professionals from academia and industry.[34]

Distinctions

On invitation from the Association of European Operational Research Societies, Bierlaire initiated the EURO Journal on Transportation and Logistics, whose editor in chief he was between 2011 and 2019.[35] Since 2012, he has been an associate editor of the journal Operations Research.[36] He was an associate editor of the Journal of Choice Modelling since its conception in 2007 until 2017.[37]

Selected works

External links

Notes and References

  1. Web site: Transport and Mobility Laboratory. 2021-01-20. www.epfl.ch. en-GB.
  2. Web site: DynaMIT. MIT.
  3. Ben-Akiva, Moshe. Bierlaire, Michel. Koutsopoulos, Haris. Mishalani, Rabi. 1998. DynaMIT: a simulation-based system for traffic prediction. Infoscience. en.
  4. Web site: 10 new professors at the two Federal Institutes of Technology ETH-Board. 2021-01-22. www.ethrat.ch.
  5. Web site: Evangelista. Sandy. 2012-07-16. Seven new professors nominated. en.
  6. Web site: EDCE Civil and Environmental Engineering. 2021-01-25. www.epfl.ch. en-GB.
  7. Web site: Academic webpage of Michel Bierlaire. 2021-01-23. transp-or.epfl.ch.
  8. Web site: hEART: European Association for Research in Transportation. 2021-01-22. heart-web.org.
  9. Web site: hEART: European Association for Research in Transportation. 2021-01-25. www.heart-web.org.
  10. Börjesson. Maria. Cherchi. Elisabetta. Bierlaire. Michel. 2013-01-01. Within-Individual Variation in Preferences: Equity Effects of Congestion Charges. Transportation Research Record. en. 10.3141/2382-11. 154456930.
  11. Nikolić. Marija. Bierlaire. Michel. de Lapparent. Matthieu. Scarinci. Riccardo. 2019-04-26. Multiclass Speed-Density Relationship for Pedestrian Traffic. Transportation Science. 53. 3. 642–664. 10.1287/trsc.2018.0849. 11171164 . 0041-1655.
  12. Hurtubia. Ricardo. Martinez. Francisco Javier. Bierlaire. Michel. 2017-07-13. A quasi-equilibrium approach for market clearing in land use microsimulations. Environment and Planning B: Urban Analytics and City Science. 46. 3. 445–468. en. 10.1177/2399808317719071. 157299975.
  13. Maknoon. M. Y.. Soumis. F.. Baptiste. P.. 2016-09-01. Optimizing transshipment workloads in less-than-truckload cross-docks. International Journal of Production Economics. en. 179. 90–100. 10.1016/j.ijpe.2016.05.015. 0925-5273.
  14. Scarinci. Riccardo. Rast. Frédéric. Bierlaire. Michel. 2017-07-01. Needed reduction in mobility energy consumption to meet the goal of a 2000-watt society. Transportation Research Part A: Policy and Practice. en. 101. 133–148. 10.1016/j.tra.2017.05.010. 0965-8564. free.
  15. Bierlaire. Michel. June 2015. Simulation and optimization: A short review. Transportation Research Part C: Emerging Technologies. en. 55. 4–13. 10.1016/j.trc.2015.01.004.
  16. Rodrigues. F.. Ortelli. N.. Bierlaire. M.. Pereira. F. C.. 2020. Bayesian Automatic Relevance Determination for Utility Function Specification in Discrete Choice Models. IEEE Transactions on Intelligent Transportation Systems. 23 . 4 . 3126–3136. 10.1109/TITS.2020.3031965. 1906.03855. 182952304. 1558-0016.
  17. Markov. Iliya. Bierlaire. Michel. Cordeau. Jean-François. Maknoon. Yousef. Varone. Sacha. 2020-01-01. Waste collection inventory routing with non-stationary stochastic demands. Computers & Operations Research. en. 113. 104798. 10.1016/j.cor.2019.104798. 168284721 . 0305-0548.
  18. Binder. Stefan. Maknoon. Yousef. Bierlaire. Michel. 2017-05-01. The multi-objective railway timetable rescheduling problem. Transportation Research Part C: Emerging Technologies. en. 78. 78–94. 10.1016/j.trc.2017.02.001. 0968-090X.
  19. Robenek. Tomáš. Azadeh. Shadi Sharif. Maknoon. Yousef. de Lapparent. Matthieu. Bierlaire. Michel. May 2018. Train timetable design under elastic passenger demand. Transportation Research Part B: Methodological. en. 111. 19–38. 10.1016/j.trb.2018.03.002. 11904046 .
  20. Pacheco Paneque. Meritxell. Sharif Azadeh. Shadi. Bierlaire. Michel. Gendron. Bernard. 14 July 2017. Integrating advanced discrete choice models in mixed integer linear optimization. Technical Report - Transport and Mobility Laboratory.
  21. Scarinci. Riccardo. Hegyi. Andreas. Heydecker. Benjamin. 2017-09-01. Definition of a merging assistant strategy using intelligent vehicles. Transportation Research Part C: Emerging Technologies. en. 82. 161–179. 10.1016/j.trc.2017.06.017. 0968-090X.
  22. Molyneaux. Nicholas. Scarinci. Riccardo. Bierlaire. Michel. 2020-05-16. Design and analysis of control strategies for pedestrian flows. Transportation. 48 . 4 . 1767–1807 . en. 10.1007/s11116-020-10111-1. 207908471 . 1572-9435.
  23. Moret. Stefano. Babonneau. Frédéric. Bierlaire. Michel. Maréchal. François. January 2020. Decision support for strategic energy planning: A robust optimization framework. European Journal of Operational Research. en. 280. 2. 539–554. 10.1016/j.ejor.2019.06.015. 197515011 .
  24. Osorio. Carolina. Bierlaire. Michel. 2012-06-16. A tractable analytical model for large-scale congested protein synthesis networks. European Journal of Operational Research. Feature Clusters. en. 219. 3. 588–597. 10.1016/j.ejor.2011.10.037. 1721.1/98832. 0377-2217. free.
  25. Flötteröd. Gunnar. Bierlaire. Michel. Nagel. Kai. 2011-06-16. Bayesian Demand Calibration for Dynamic Traffic Simulations. Transportation Science. 45. 4. 541–561. 10.1287/trsc.1100.0367. 0041-1655.
  26. Alahi. A.. Bierlaire. M.. Vandergheynst. P.. 2014-02-01. Robust real-time pedestrians detection in urban environments with low-resolution cameras. Transportation Research Part C: Emerging Technologies. en. 39. 113–128. 10.1016/j.trc.2013.11.019. 0968-090X.
  27. Web site: Research. 2021-01-22. www.epfl.ch. en-GB.
  28. Binder. Stefan. Macfarlane. Gregory S.. Garrow. Laurie A.. Bierlaire. Michel. January 2014. Associations among household characteristics, vehicle characteristics and emissions failures: An application of targeted marketing data. Transportation Research Part A: Policy and Practice. en. 59. 122–133. 10.1016/j.tra.2013.11.005.
  29. Web site: Biogeme. 2021-01-22. biogeme.epfl.ch.
  30. Web site: Introduction to Discrete Choice Models. 2021-01-23. edX. en.
  31. Web site: Optimization: principles and algorithms - Linear optimization. 2021-01-23. edX. en.
  32. Web site: Optimization: principles and algorithms - Unconstrained nonlinear optimization. 2021-01-23. edX. en.
  33. Web site: Optimization: principles and algorithms - Network and discrete optimization. 2021-01-23. edX. en.
  34. Web site: Discrete Choice Analysis: Predicting Individual Behavior and Market Demand. 2021-01-23. transp-or.epfl.ch.
  35. Book: EURO Journal on Transportation and Logistics.
  36. Web site: Operations Research PubsOnLine. 2021-01-22. pubsonline.informs.org. en.
  37. Book: Journal of Choice Modelling.

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