Transport and Mobility Laboratory: yearly report 2020

TRANSP-OR

TeachingTop

Fall 2020

Mathematical modeling of behavior
Section(s): Mathematics, Master in Financial Engineering
Lecturers: Michel Bierlaire, Meritxell Pacheco, Tim Hillel
Teaching assistant: Melvin Wong, Rico Krueger, Janody Pougala, Nicola Ortelli
Number of students: unknown

Spring 2020

Decision-aid methodologies in transportation
Section(s): Civil Engineering
Lecturers: Tim Hillel, Nour Dougui
Teaching assistant: Stefano Bortolomiol, Gael Lederrey, Selin Atac, Janody Pougala
Number of students: unknown
Optimization and Simulation
Section(s): Doctoral program in Civil and Environmental Engineering
Lecturers: Michel Bierlaire, Rico Krueger, Melvin Wong
Number of students: unknown

PhD thesesTop

Defense scheduled in 2020 or after and theses in progress

Ongoing

Meritxell Pacheco
A general framework for the integration of complex choice models into mixed integer optimization
Committee: Prof. B. Atasoy (TU Delft), Prof. B. Gendron (U. Montréal), Prof. D. Kuhn (EPFL), Prof. S. Sharif-Azadeh (TU Eindhoven, co-director), Prof. M. Andersen (EPFL, chair), Prof. M. Bierlaire (EPFL, director)
Exam: May 19, 2020
Nicholas Molyneaux
Dynamic management polices for transportation hubs
Gael Lederrey
Machine learning and discrete choice
Selin Atac
Demand-based mobility sharing systems
Stefano Bortolomiol
Incorporating competitors' behavior in demand based optimization models

PhD committeesTop

Oscar Egu
Apports des données passives à la compréhension des comportements de mobilité ? Enjeux pour la planification et l'organisation des transports en commun
Université Lumière Lyon 2, France
October 28, 2020
Claudia Bongiovanni
The Electric Autonomous Dial-a-Ride Problem
Ecole Polytechnique Fédérale de Lausanne, Switzerland
May 25, 2020
Meritxell Pacheco Paneque (Thesis director)
A general framework for the integration of complex choice models into mixed integer optimization
Ecole Polytechnique Fédérale de Lausanne, Switzerland
May 19, 2020
Omar Abou Kasm
Mathematical Programming for Port Quayside Operations Management
New-York University Abu-Dhabi, UAE
March 05, 2020

Masters thesesTop

Isabelle Pumford
Section:
Simulating realistic traffic flows to predict bridge loadings
Supervision:Tim Hillel, Michel Bierlaire
Expert: TBC
14/09/2020-15/01/2021
Alain Azzi
Section: Mechanical Engineering
Feuille de route pour l'électrification du réseau de bus urbains de Lausanne à l'horizon 2030
Supervision:Nicola Ortelli, Janody Pougala, Michel Bierlaire
Expert: Philippe Seydoux
17/02/2020-14/08/2020
Sergej Gasparovich
Section: Civil Engineering
Generating daily activity schedules using machine learning
Supervision:Janody Pougala, Tim Hillel, Michel Bierlaire
Expert: Antonin Danalet
17/02/2020-19/06/2020
Julien Harbulot
Transportation mode classification with smartphone accelerometer data: An end-to-end deep learning approach
Supervision:Rico Krueger, Michel Bierlaire
Expert: Florent Martin
17/02/2020-08/09/2020
Adrien Nicolet
Section: Civil Engineering
Risk assessment of pedestrian crossings
Supervision:Nicholas Molyneaux, Gael Lederrey, Michel Bierlaire
Expert:
17/02/2020-17/07/2020
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

Semester projectsTop

Benoit Pahud
Schedule repair in liner shipping
Section:
September 14, 2020-January 29, 2021
Supervision: Stefano Bortolomiol, Nour Dougui, Michel Bierlaire
Benoit Pahud
Generating choice sets of transport modes for activity based applications
Section:
September 14, 2020-January 29, 2021
Supervision: Janody Pougala, Tim Hillel, Michel Bierlaire
Nicolas Salvadé
Generating choice sets of destinations for activity based applications
Section:
September 14, 2020-January 29, 2021
Supervision: Janody Pougala, Tim Hillel, Michel Bierlaire
Paula Vogg
Designing a MATSim environment for a vehicle sharing system as a transport mode
Section:
September 14, 2020-January 29, 2021
Supervision: Selin Atac, Cloe Cortes Balcells, Michel Bierlaire
Carole Baslé
Road maintenance management optimisation
Section:
September 14, 2020-January 29, 2021
Supervision: Melvin Wong, Nour Dougui, Michel Bierlaire
Hugo Bocquet
Optimizing Organizational Chart using local search method
Section:
February 17, 2020-June 30, 2020
Supervision: Nour Dougui, Selin Atac, Michel Bierlaire
Elodie Duliscouet, Paulin Raison, Yahya Basiouny
Optimal regulation of oligopolistic markets with discrete choice models of demand
Section:
February 17, 2020-June 12, 2020
Supervision: Stefano Bortolomiol, Selin Atac, Michel Bierlaire
Yannis Voet
Robust routing and scheduling in liner shipping
Section:
February 17, 2020-June 12, 2020
Supervision: Stefano Bortolomiol, Nour Dougui, Michel Bierlaire
Thomas Gasos
Bayesian analysis of multinomial discrete choice model with t-distributed kernel errors
Section:
February 17, 2020-June 09, 2020
Supervision: Rico Krueger, Michel Bierlaire
Benjamin Nicolas--Noir
Welfare-maximizing design of a transportation system
Section:
February 17, 2020-May 29, 2020
Supervision: Meritxell Pacheco, Michel Bierlaire
Youssef Kitane
Enhancing the Serial Estimation of Discrete Choice Models Sequences
Section:
February 17, 2020-June 22, 2020
Supervision: Nicola Ortelli, Gael Lederrey, Michel Bierlaire
Jasso Espadaler
Analysis of the value of demand forecasting within vehicle sharing systems
Section:
September 17, 2019-January 31, 2020
Supervision: Selin Atac, Stefano Bortolomiol, Michel Bierlaire
Sergey Gasparovich
Investigating daily activity patterns
Section:
September 17, 2019-January 31, 2020
Supervision: Janody Pougala, Tim Hillel, Michel Bierlaire
Adrien Nicolet
Tour-based mode choice modelling
Section: Civil Engineering
September 17, 2019-January 31, 2020
Supervision: Tim Hillel, Janody Pougala, Michel Bierlaire
Adrien Nicolet
Risk assessment of pedestrian crossings
Section:
September 16, 2019-January 31, 2020
Supervision: Nicholas Molyneaux, Gael Lederrey, Michel Bierlaire

Additional teachingTop

SeminarsTop

Organization of conferences, workshops, etc.Top

No event scheduled at the moment. Please consult this page later.

15th Workshop on Discrete Choice Models
June 11, 2020-June 13, 2020
Location: EPFL, Lausanne, Switzerland
Role: Organizer
Discrete Choice Analysis: Predicting Individual Behavior and Market Demand
February 09, 2020-February 13, 2020
Location: EPFL, Lausanne, Switzerland
Role: Founder, organizer and lecturer
Winter School on Optimization and Operations Research
January 19, 2020-January 24, 2020
Location: Hotel Europe, Zinal
Role: Organizer

PublicationsTop

Papers in international journals (accepted for publication)Top

  1. Rodrigues, F., Ortelli, N., Bierlaire, M., and Pereira, F. C. (to appear). Bayesian Automatic Relevance Determination for Utility Function Specification in Discrete Choice Models, IEEE Transactions on Intelligent Transportation Systems (accepted for publication on October 14, 2020)
  2. Lederrey, G., Lurkin, V., Hillel, T., and Bierlaire, M. (to appear). Estimation of Discrete Choice Models with Hybrid Stochastic Adaptive Batch Size Algorithms, Journal of Choice Modelling (accepted for publication on May 20, 2020)
  3. Hillel, T., Bierlaire, M., Elshafie, M. Z E B, and Ying, J. (to appear). A systematic review of machine learning classification methodologies for modelling passenger mode choice, Journal of Choice Modelling (accepted for publication on May 10, 2020)
  4. Molyneaux, N., Scarinci, R., and Bierlaire, M. (to appear). Design and analysis of control strategies for pedestrian flows, Transportation (accepted for publication on April 18, 2020)

Papers in international journalsTop

  1. Krueger, R., Bansal, P., and Buddhavarapu, P. (2020). A New Spatial Count Data Model with Bayesian Additive Regression Trees for Accident Hot Spot Identification, Accident Analysis and Prevention 144:105623.
  2. Krueger, R., Rashidi, T., and Vij, A. (2020). A Dirichlet process mixture model of discrete choice: Comparisons and a case study on preferences for shared automated vehicles, Journal of Choice Modelling 36:105623.
  3. Bansal, P., Krueger, R., Bierlaire, M., Daziano, R., and Rashidi, T. (2020). Bayesian Estimation of Mixed Multinomial Logit Models: Advances and Simulation-Based Evaluations, Transportation Research Part B: Methodological 131:124-142.
  4. Moret, S., Babonneau, F., Bierlaire, M., and Maréchal, F. (2020). Overcapacity in European power systems: analysis and robust optimization approach, Applied energy 259(113970):.
  5. Markov, I., Bierlaire, M., Cordeau, J., Maknoon, Y., and Varone, S. (2020). Waste Collection Inventory Routing with Non-stationary Stochastic Demands, Computers & Operations Research 113(104798):.
  6. Moret, S., Babonneau, F., Bierlaire, M., and Maréchal, F. (2020). Decision support for strategic energy planning: a complete robust optimization framework, European Journal of Operational Research 280:539-554.
  7. Kazagli, E., Bierlaire, M., and de Lapparent, M. (2020). Operational route choice methodologies for practical applications, Transportation 47:43-74. [Published online: 06 January 2018]

Book chaptersTop

  1. Bierlaire, M., Scarinci, R., Nikolic, M., Oyama, Y., Molyneaux, N., and Wang, Z. (2020). Methodologies for understanding and improving pedestrian mobility. In Ole B. Jensen, Claus Lassen, Vincent Kaufmann, Malene Freudendal-Pedersen, Ida Sofie Gøtzsche Lange (ed) Handbook of Urban Mobilities . Routledge.

Conference proceedingsTop

  1. Atac, S., Obrenovic, N., and Bierlaire, M. (2020). Vehicle sharing systems: Does demand forecasting yield a better service?. Proceedings of the 20th Swiss Transport Research Conference (STRC) 13-14 May, 2020.
  2. Pougala, J., Hillel, T., and Bierlaire, M. (2020). Scheduling of daily activities: an optimization approach. Proceedings of the 20th Swiss Transport Research Conference (STRC) 13-14 May, 2020.

Technical reportsTop

  1. Ortelli, N., Hillel, T., Pereira, F. C., de Lapparent, M., and Bierlaire, M. (2020). Assisted Specification of Discrete Choice Models. Technical report TRANSP-OR 200708. Transport and Mobility Laboratory, ENAC, EPFL.
  2. Hillel, T. (2020). New perspectives on the performance of machine learning classifiers for mode-choice prediction. Technical report TRANSP-OR 200704. Transport and Mobility Laboratory, ENAC, EPFL.
  3. Bierlaire, M. (2020). A short introduction to PandasBiogeme. Technical report TRANSP-OR 200605. Transport and Mobility Laboratory, ENAC, EPFL.
  4. Krueger, R., Bansal, P., Bierlaire, M., Daziano, R., and Rashidi, T. (2020). Variational bayesian inference for mixed logit models with unobserved inter-and intra-individual heterogeneity. Technical report arXiv:1905.00419. Transport and Mobility Laboratory, ENAC, EPFL.
  5. Krueger, R., Bansal, P., Bierlaire, M., and Gasos, T. (2020). Robust discrete choice models with t-distributed kernel errors. Technical report arXiv preprint arXiv:2009.06383. Transport and Mobility Laboratory, ENAC, EPFL.
  6. Bansal, P., Krueger, R., and Graham, D. J (2020). Fast bayesian estimation of spatial count data models. Technical report arXiv preprint arXiv:2007.03681. Transport and Mobility Laboratory, ENAC, EPFL.
  7. Wong, M., and Farooq, B. (2020). ResLogit: A residual neural network logit model. Technical report arXiv preprint arXiv:1912.10058. Transport and Mobility Laboratory, ENAC, EPFL.
  8. Bierlaire, M., and Krueger, R. (2020). Sampling and discrete choice. Technical report 201109. Transport and Mobility Laboratory, ENAC, EPFL.

Speaker in external seminarsTop

  1. Pougala, J., Hillel, T., and Bierlaire, M., Activity-based models: an optimization perspective. Applied Urban Modelling Symposium 2020, The Martin Centre for Architectural and Urban Studies, University of Cambridge, November 23, 2020, Cambridge, UK
  2. Wong, M., Demystifying out-of-sample discrete choice prediction: What can we learn from machine learning?. CMC Online Seminar Series 2020, Choice Modelling Centre (CMC), University of Leeds, November 17, 2020, Leeds, UK
  3. Bansal, P., Krueger, R., Bierlaire, M., and Graham, D. J, Variational Bayesian Inference for Spatial Negative Binomial Count Data Models with Unobserved Heterogeneity. Bridging Transportation Researchers Online Conference, August 12, 2020,
  4. Krueger, R., Bansal, P., and Buddhavarapu, P., A New Spatial Count Data Model with Bayesian Additive Regression Trees for Accident Hot Spot Identification. Bridging Transportation Researchers Online Conference, August 12, 2020,
  5. Pacheco, M., Gendron, B., Bierlaire, M., and Sharif Azadeh, S., A Lagrangian decomposition scheme for the choice-based optimization framework. OR seminar, Erasmus University Rotterdam, June 26, 2020,
  6. Bansal, P., Krueger, R., Bierlaire, M., and Graham, D. J, Variational Bayesian inference for spatial negative binomial count data models with unobserved heterogeneity. STRC 2020, May 14, 2020,
  7. Atac, S., Obrenovic, N., and Bierlaire, M., Vehicle sharing systems: Does demand forecasting yield a better service?. STRC 2020, May 13, 2020, Monte Veritá, Ascona, Switzerland
  8. Pougala, J., Hillel, T., and Bierlaire, M., Scheduling of daily activities: an optimization approach. STRC 2020, May 13, 2020, Monte Veritá, Ascona, Switzerland

Awards and distinctionsTop

  1. Melvin Wong : Swiss Government Excellence Scholarship for Foreign Scholars and Artists (May 12, 2020). Institution: Federal Commission for Scholarships for Foreign Students (FCS). Description: Each year the Swiss Confederation awards Government Excellence Scholarships to promote international exchange and research cooperation between Switzerland and over 180 other countries. Recipients are selected by the awarding body, the Federal Commission for Scholarships for Foreign Students (FCS).

ReviewingTop

  1. Transportation Research Part C: Emerging Technologies (7)
  2. Transportation Research Part A: Policy and Practice (3)
  3. Accident Analysis and Prevention (2)
  4. International Journal of Sustainable Transportation (2)
  5. Journal of Choice Modelling (2)
  6. Research in Transportation Economics (2)
  7. Transportation Letters: the International Journal of Transportation Research (2)
  8. Transportation Research Part B: Methodological (2)
  9. Applied Soft Computing (1)
  10. Computer Science and Information Systems (1)
  11. European Journal of Transport and Infrastructure Research (1)
  12. IEEE Transactions on Intelligent Transportation Systems (1)
  13. International Journal of Theoretical and Applied Papers on Economic Modelling (1)
  14. International Journal of Transportation Science and Technology (1)
  15. Journal of Transportation Engineering, Part A (1)
  16. Networks and Spatial Economics (1)
  17. Transport Reviews (1)
  18. Transportation Research Part D: Transport and Environment (1)
  19. Transportmetrica (1)
  20. Travel Behaviour and Society (1)

Research projects (6)Top

Intelligent digital twins for assessing and predicting bridge road traffic demands
Sponsor: School of Architecture, Civil and Environmental Engineering (ENAC), École polytechnique fédérale de Lausanne
Team: Tim Hillel (PI)
Period: October 01, 2020-April 01, 2022
Road bridges are a vital part of transportation networks, forming crucial links in natural bottleneck locations and enabling the continual flow of people and goods into, out of, and across cities. However, the analysis used for design and maintenance planning of this community-critical infrastructure is typically carried out using static models and assuming generalized traffic patterns. This analysis represents only peak loading scenarios and does not reflect the spatial and temporal variations in real-world traffic loads. The resulting uncertainty in load prediction can lead to in overengineering in bridge design as well as sub-optimal maintenance planning. Furthermore, as current analysis techniques model only maximal loads, they cannot be used to predict the maintenance condition of bridges due to fatigue from repeated loading and unloading of the bridge over time. This research aims to address these limitations by developing intelligent digital twins which can simulate the response of a bridge to realistic traffic loading scenarios. These digital twin models combine two primary elements: (i) a traffic simulation model which exploits detailed traffic count and weigh-in-motion data to generate time-dependent traffic loadings, and (ii) a detailed structural model which predicts the compliance and maintenance condition of a bridge for different maximal and cyclic loading patterns. The intelligent digital twin is intended to be generalizable to any bridge or network of bridges for which relevant data exists. This will enable these models to be used within an integrated approach to study infrastructure vulnerability and multi-hazard risk management.
Optimization of individual mobility plans to simulate future travel in Switzerland
Sponsor: Innosuisse (Swiss Innovation Agency)
Team: Michel Bierlaire (PI), Tim Hillel (PM), Janody Pougala, Rico Krueger
Period: September 01, 2020-March 01, 2022
This project, joint with Swiss Federal Railways (SBB) will develop a new activity-based modelling approach based on optimization of individual daily mobility plans. This approach will be implemented within SBB's existing nationwide model for Switzerland for investment and service planning decisions for future transportation.
OrgVisionPro: Automated organizational design and optimization
Sponsor: Innosuisse (Swiss Innovation Agency)
Team: Michel Bierlaire (PI), Tim Hillel (PM), Melvin Wong, Rico Krueger, Nour Dougui
Period: October 01, 2019-April 01, 2021
This project, joint with CLEAP S.A., is will develop advanced analytics algorithms to propose organization design (OD) scenarios based on the existing situation, constraints, and future needs of a business. These scenarios will support organizations in shaping their future by optimizing their structure and operating models.
ACTIVITY BASED TRAVEL DEMAND FORECASTING
Sponsor: Swiss Federal Railways (SBB)
Team: Michel Bierlaire (PI), Tim Hillel (PM), Janody Pougala
Period: March 01, 2019-March 01, 2020
This research project aims to update and improve the microscopic activity-based demand model developed and maintained by SBB. Specifically the research intends to address the following questions: 1. Ownership of mobility instruments: Which metrics and specifications can be added to the current model, in order to improve its ability to forecast mid-and long-term ownership of mobility instruments? More specifically, how can the notion of accessibility be integrated to the current model to capture more complex mode interactions? 2. Mode choice model: Can a tour-based approach be used to model mode choice? In addition, how can the processes to estimate destination and mode choice (currently nested) be combined to generate results that are consistent with observed mobility behaviors at different time horizons (short, mid, and long-term)? 3. Tour and activity generation: How can the generation of tours and activity patterns be combined to allow modelling of joint decisions?
Design of a car-free city center: a fringe parking system with accelerated moving walkways
Sponsor: European Commission
Team: Michel Bierlaire (PI), Yuki Oyama (PM)
Period: October 01, 2018-September 30, 2020
This project is conducted on a fellowship "The EuroTech Postdoc Programme". A car-free city center is a valuable solution for decreasing traffic congestion and CO2 emissions, and improving active mobility and quality of life. To achieve these goals, one of the biggest challenges is the relocation of parking places scattered in the inner district, which cause cruising for available parking as well as car inflows. A possible solution is a “fringe parking” system, which groups parking into a limited number of spots on the border of the district. However, this may decrease the level of accessibility moving the parking away from the final destinations. The key idea of this research is to use “accelerated moving walkway” (AMW), a novel transport system, in combination with a fringe parking system to design a car-free city center with high accessibility. The goal of the research is to propose and identify the optimal configuration of a fringe parking system with AMWs, as a solution to city centers. The main methodologies are network design optimization and traffic assignment.
Incorporating competitors' behavior in demand based optimization models
Sponsor: Swiss National Science Foundation
Team: Michel Bierlaire (PI), Virginie Lurkin (PM), Stefano Bortolomiol
Period: November 01, 2017-October 31, 2020
The starting point of this research project is the general framework developed in the SNF research project 200021_165636 entitled “Incorporating advanced behavioral models in mixed integer linear optimization”. The project aims at formulating explicitly the complex interaction between the supply and demand actors. We hypothesize that the decisions of supply actors (such as capacity, assortment, and price) are highly influenced by the decisions of other actors, through competition within the market. In this project, we will therefore explicitly consider multiple operators that compete for the same pool of customers. Each operator will take the supply-side decisions that optimize its performance function (e.g., maximization of revenue). Non-cooperative game theory is commonly used to model such oligopolistic competition. We plan to investigate how to integrate these games in the already developed framework. In this context, the objective will be to analyze the concept of equilibrium, that is, stationary states of the system where no actor has an incentive to change his/her decisions.

Miscellaneous responsibilitiesTop

Ongoing

    Bierlaire

  1. Member of the Editorial Advisory Board, Transportation Research Part B (since January 01, 1995)
  2. Member of the Editorial Advisory Board, Transportation Research Part C (since January 01, 2006)
  3. Director of the Transport and Mobility Laboratory, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland (since July 01, 2006)
  4. Director, Transportation Center, Ecole Polytechnique Fédérale de Lausanne, Switzerland (since May 06, 2009)
  5. Member of the Editorial Advisory Board, European Journal of Transport and Infrastructure Research (since November 08, 2011)
  6. Associate Editor, Operations Research (since January 01, 2012)
  7. Member of the research council, Swiss Federal Railways (SBB), Bern, Switzerland (since January 01, 2015)
  8. Member of the Academic Promotion Committee, EPFL, Lausanne, Switzerland (since April 01, 2015)
  9. Founder, member of the steering committee, European Association for Research in Transportation (since September 09, 2015)
  10. Member of the scientific advisory board, CIRRELT (Interuniversity Research Center on Enterprise Networks, Logistics and Transportation, Québec, Canada (since January 01, 2016)
  11. Scientific advisor, BestMile SA (since May 12, 2016)
  12. Scientific advisor, Kidodynamics (since May 01, 2018)
  13. Associate Editor, Transport Findings (since October 01, 2018)
  14. Member of the International Scientific Advisory Board , Transportation Research Center, Kumasi, Kumasi, Ghana (since November 01, 2018)
  15. Member of the Editorial Board, Transportation Research Part B (since December 01, 2018)

Expertise

  • Transportation Research
  • Operations Research
  • Discrete Choice Models

Methods

Modeling, optimization, simulation

Select year