Transport and Mobility Laboratory: yearly report 2021

TRANSP-OR

TeachingTop

Spring 2021

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 2021 or after and theses in progress

Ongoing

Selin Atac
Demand-based mobility sharing systems
Alexis Gumy
Aux frontières de la mobilité. Vers la construction sociale des « bonnes manières » de se déplacer ?
Co-supervisor: Vincent Kaufmann
Marija Kukic
Modeling the activities of households
Cloe Cortes Balcells
Activity-based models and epidemics
Nicola Ortelli
Assisted specification of choice models
Janody Pougala
Activity-based models
Co-supervisor: Tim Hillel
Negar Rezvany
Urban energy demand
Co-supervisor: Tim Hillel
Gael Lederrey
Machine learning and discrete choice
Co-supervisor: Tim Hillel
Nicholas Molyneaux
Dynamic management polices for transportation hubs
Stefano Bortolomiol
Incorporating competitors' behavior in demand based optimization models

PhD committeesTop

Alessio Marra
Tracking passengers to analyse travel behaviour during public transport disturbances
ETH Zürich, Switzerland
July 12, 2021
Victoria Eugenia Soto Magan (President of the jury)
Alertness in work environments. On the role of indoor daylight exposure
Ecole Polytechnique Fédérale de Lausanne, Switzerland
April 27, 2021
Cyril Picard
Automated Design: A Journey Across Modelling, Optimization, and Education
EPFL, Switzerland
April 01, 2021
Yuanying Zhao
Inverse discrete choice modelling: a framework for socio-demographic enrichment of big data
Centre for Transport Studies, Dpt. of Civil and Environmental Engineering, Imperial College London, United Kingdom
March 22, 2021
Alexandra Gavriilidou
Cyclists in motion: from data collection to behavioural models
Delft University of Technology, The Netherlands
February 03, 2021

Masters thesesTop

Benoit Pahud
Section: Civil Engineering
The railway timetable rescheduling problem with capacity constraints
Supervision:Nour Dougui, Marija Kukic, Stefano Bortolomiol
Expert: Hellwig Matthias
22/02/2021-25/06/2021
Isabelle Pumford
Section: Computer science
Simulating realistic traffic flows to predict bridge loadings
Supervision:Tim Hillel, Michel Bierlaire
Expert: Dimitrios Papastergiou, ASTRA
14/09/2020-15/01/2021

Semester projectsTop

Jacques Roitel
Application of sustainable reverse logistics in optimization of last-mile delivery systems
Section:
March 01, 2021-June 30, 2021
Supervision: Melvin Wong, Michel Bierlaire
Ambroise Favre
Matrix factorisation methods
Section:
March 01, 2021-June 30, 2021
Supervision: Rico Krueger, Michel Bierlaire
Chantal Gressier
Designing a MATSIM environment to study the impact of SARS-CoV-2 in mobility
Section: Mathematics
March 01, 2021-June 03, 2021
Supervision: Cloe Cortes Balcells, Negar Rezvany
Antoine Crettenand
Designing a MATSIM environment to study the impact of SARS-CoV-2 in mobility
Section:
March 01, 2021-June 03, 2021
Supervision: Cloe Cortes Balcells, Rico Krueger, Michel Bierlaire
Daniela Spadaro
Road Safety: Investigating the Role of Latent Behaviors in Injury Severity
Section: Mathematics
February 22, 2021-June 07, 2021
Supervision: Nicola Ortelli, Gael Lederrey, Michel Bierlaire
Nicolas Richter
Modeling Geneva's public transport network following disruption events
Section: Civil Engineering
February 22, 2021-July 09, 2021
Supervision: Marija Kukic, Janody Pougala, Michel Bierlaire
Alfio Simone Mosset
Designing and implementing rebalancing operations in car sharing systems using MATSim
Section: Civil Engineering
February 22, 2021-July 09, 2021
Supervision: Selin Atac, Stefano Bortolomiol, Michel Bierlaire
Benoit Pahud
The railway timetable rescheduling problem
Section: Civil Engineering
January 04, 2021-February 19, 2021
Supervision: Nour Dougui, Marija Kukic, Stefano Bortolomiol, Matthias Hellwig, SMA und Partner AG
Nicolas Salvadé
Generating choice sets of destinations for activity based applications
Section: Civil Engineering
September 14, 2020-January 29, 2021
Supervision: Janody Pougala, Tim Hillel, Michel Bierlaire
Benoit Pahud
Generating choice sets of transport modes for activity based applications
Section: Civil Engineering
September 14, 2020-January 29, 2021
Supervision: Janody Pougala, Tim Hillel, Michel Bierlaire
Carole Baslé
Road maintenance management optimisation
Section: Civil Engineering
September 14, 2020-January 29, 2021
Supervision: Melvin Wong, Nour Dougui, Michel Bierlaire
Paula Vogg
Designing a MATSim environment for a vehicle sharing system as a transport mode
Section: Civil Engineering
September 14, 2020-January 29, 2021
Supervision: Selin Atac, Cloe Cortes Balcells, Michel Bierlaire
Benoit Pahud
Schedule repair in liner shipping
Section: Civil Engineering
September 14, 2020-January 29, 2021
Supervision: Stefano Bortolomiol, Nour Dougui, Michel Bierlaire

Additional teachingTop

Hybrid Choice Models
Discrete Choice Analysis: Predicting Individual Behavior and Market Demand, February 12, 2021
EPFL, Lausanne, Switzerland
Lecturer: Ortelli Nicola
Assistant(s): Krueger Rico
Bayesian Estimation; Individual Prediction
Discrete Choice Analysis: Predicting Individual Behavior and Market Demand, February 11, 2021
EPFL, Lausanne, Switzerland
Lecturer: Krueger Rico
Assistant(s): Hillel Tim
Logit Mixtures; Combining RP and SP data
Discrete Choice Analysis: Predicting Individual Behavior and Market Demand, February 10, 2021
EPFL, Lausanne, Switzerland
Lecturer: Pougala Janody
Assistant(s): Atac Selin
Nested Logit; Aggregate Forecasting
Discrete Choice Analysis: Predicting Individual Behavior and Market Demand, February 09, 2021
EPFL, Lausanne, Switzerland
Lecturer: Atac Selin
Assistant(s): Pougala Janody
Introduction; Logit Estimation and Testing
Discrete Choice Analysis: Predicting Individual Behavior and Market Demand, February 08, 2021
EPFL, Lausanne, Switzerland
Lecturer: Hillel Tim
Assistant(s): Cortes Balcells Cloe

SeminarsTop

Silvia Varotto
Modelling driver behaviour with intelligent vehicle systems
Affiliation: SWOV Institute for Road Safety Research, The Hague (NL)
March 24, 2021

Organization of conferences, workshops, etc.Top

Winter School on Optimization and Operations Research
August 15, 2021-August 20, 2021
Location: Hotel Europe, Zinal
Role: Organizer

PublicationsTop

Papers in international journals (accepted for publication)Top

  1. Bortolomiol, S., Lurkin, V., and Bierlaire, M. (to appear). A simulation-based heuristic to find approximate equilibria with disaggregate demand models, Transportation Science (accepted for publication on April 16, 2021)

Papers in international journalsTop

  1. Ortelli, N., Hillel, T., Pereira, F. C., de Lapparent, M., and Bierlaire, M. (2021). Assisted Specification of Discrete Choice Models, Journal of Choice Modelling 39(100285):.
  2. Atac, S., Obrenovic, N., and Bierlaire, M. (2021). Vehicle Sharing Systems: A Review and a Holistic Management Framework, EURO Journal on Transportation and Logistics 10(100033):.
  3. Wong, M., and Farooq, B. (2021). ResLogit: A residual neural network logit model for data-driven choice modelling, Transportation Research Part C: Emerging Technologies 126:103050.
  4. Pacheco, M., Bierlaire, M., Gendron, B., and Sharif Azadeh, S. (2021). Integrating advanced discrete choice models in mixed integer linear optimization , Transportation Research Part B: Methodological 146:26-49.
  5. Bansal, P., Dua, R., Krueger, R., and Graham, D. J (2021). Fuel Economy Valuation and Preferences of Indian Two-wheeler Buyers, Journal of Cleaner Production 294:126328.
  6. Abou Kasm, O., Diabat, A., and Bierlaire, M. (2021). Vessel scheduling with pilotage and tugging considerations, Transportation Research Part E: Logistics and Transportation Review 148:.
  7. Bansal, P., Krueger, R., and Graham, D. J (2021). Fast Bayesian estimation of spatial count data models, Computational Statistics & Data Analysis 157:107152.
  8. Lederrey, G., Lurkin, V., Hillel, T., and Bierlaire, M. (2021). Estimation of Discrete Choice Models with Hybrid Stochastic Adaptive Batch Size Algorithms, Journal of Choice Modelling 38(100226):.
  9. Hillel, T., Bierlaire, M., Elshafie, M. Z E B, and Jin, Y. (2021). A systematic review of machine learning classification methodologies for modelling passenger mode choice, Journal of Choice Modelling 38(100221):.

Book chaptersTop

  1. Sharif Azadeh, S., Maknoon, Y., Chen, J., and Bierlaire, M. (2021). The Impact of Collaborative Scheduling and Routing for Interconnected Logistics: A European Case Study. In Jafar Rezaei (ed) Strategic Decision Making for Sustainable Management of Industrial Networks pp.35-56. Springer.

    Technical reportsTop

    1. Molyneaux, N., and Bierlaire, M. (2021). Analysis and modelling of intra-hub pedestrian dynamics. Technical report TRANSP-OR 210526. Transport and Mobility Laboratory, ENAC, EPFL.
    2. Bierlaire, M., Frejinger, E., and Hillel, T. (2021). Dynamic choice models. Technical report TRANSP-OR 210305. Transport and Mobility Laboratory, ENAC, EPFL.
    3. Molyneaux, N., and Bierlaire, M. (2021). Controlling pedestrian flows with moving walkways. Technical report TRANSP-OR 210218. Transport and Mobility Laboratory, ENAC, EPFL.
    4. Beine, M., Bierlaire, M., and Docquier, F. (2021). New York, Abu Dhabi, London or Stay at Home? Using a Cross-Nested Logit Model to Identify Complex Substitution Patterns in Migration. Technical report TRANSP-OR 210130. Transport and Mobility Laboratory, ENAC, EPFL.
    5. Bortolomiol, S., Lurkin, V., and Bierlaire, M. (2021). Price-based regulation of oligopolistic markets under discrete choice models of demand. Technical report TRANSP-OR 210127. Transport and Mobility Laboratory, ENAC, EPFL.
    6. Pougala, J., Hillel, T., and Bierlaire, M. (2021). Capturing trade-offs between daily scheduling choices. Technical report TRANSP-OR 210101. Transport and Mobility Laboratory, ENAC, EPFL.
    7. Xie, S., Hillel, T., and Jin, Y. (2021). An Early Stopping Bayesian Data Assimilation Approach for Mixed-Logit Estimation. Technical report arXiv:2101.11159. Transport and Mobility Laboratory, ENAC, EPFL.
    8. Krueger, R., Bierlaire, M., Gasos, T., and Bansal, P. (2021). Robust discrete choice models with t-distributed kernel errors. Technical report arXiv preprint arXiv:2009.06383. Transport and Mobility Laboratory, ENAC, EPFL.

    Speaker in external seminarsTop

    1. Bansal, P., Kessels, R., Krueger, R., and Graham, D. J, Changes in activity-travel behaviour of London Underground users during and after the COVID-19 pandemic. ICMC Mini Online Event, May 28, 2021,
    2. Pougala, J., Hillel, T., and Bierlaire, M., Reconstructing daily schedules of individuals: a utility maximization approach. Lunch Seminar in Economics, Department of Economics and Management, University of Luxembourg , May 05, 2021, Luxembourg (Online)
    3. Krueger, R., Bayesian machine learning and spatial count data models: Advances in estimation and specification. Research seminar, Transport Division at DTU Management, Technical University of Denmark, February 03, 2021, Copenhagen, Denmark
    4. Hillel, T., Pougala, J., Bierlaire, M., Manser, P., Haering, T., and Luethi, R., Modelling mobility tool availability at a household and individual level: A case study of Switzerland. hEART 2020, 9th Symposium of the European Association for Research in Transportation, February 03, 2021, Lyon, France
    5. Krueger, R., Bansal, P., and Buddhavarapu, P., A New Spatial Count Data Model with Bayesian Additive Regression Trees for Accident Hot Spot Identification. hEART 2020: 9th Symposium of the European Association for Research in Transportation, LAET (ENTPE, University Lyon2), February 03, 2021, Lyon, France
    6. Lederrey, G., Hillel, T., and Bierlaire, M., Synthetic population generation using GANs and expert knowledge. AUM2020: Online Global Workshop, January 28, 2021, Home
    7. Hillel, T., Pougala, J., Bierlaire, M., Scherr, W., and Manser, P., Validating disaggregate models at an aggregate scale: A case study of mobility tool ownership in Switzerland. Applied Urban Modelling 2020: Modelling the New Urban World, January 28, 2021, Cambridge, UK

    Awards and distinctionsTop

    ReviewingTop

    1. Transportation Research Part C: Emerging Technologies (4)
    2. Transportation Letters: the International Journal of Transportation Research (3)
    3. Transportation Research Part B: Methodological (3)
    4. Nature Sustainability (2)
    5. Case Studies on Transport Policy (1)
    6. IEEE Open Journal of Intelligent Transportation Systems (1)
    7. International Journal of Transportation Science and Technology (1)
    8. Journal of Choice Modelling (1)
    9. Transportation Research Part A: Policy and Practice (1)
    10. Transportation Research Part D: Transport and Environment (1)
    11. Transportation Research Record (1)

    Research projects (4)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&PM)
    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.
    Activity scheduling an rhythmic style: multi-day modeling of mobility habits
    Sponsor: School of Architecture, Civil and Environmental Engineering (ENAC), École polytechnique fédérale de Lausanne
    Team: Janody Pougala (PI&PM), Marija Kukic
    Period: October 01, 2020-October 01, 2021
    A growing body of research shows that the traditional approaches employed to plan and forecast travel behaviors are not equipped to deal with the heterogeneity of behaviors over time, space, and social spheres. Therefore, travel policies struggle to reconcile social inclusivity, sustainability and network efficiency. Two ENAC laboratories propose to join forces, in mathematical modeling and quantitative sociology, to develop a novel multi-day activity-scheduling framework to forecast travel demand. Integrating day-to-day correlations in travel behaviors will lead to a better understanding of the motives behind travel decisions, and will unveil more facets of individual decision making for better predictions of their daily mobility choices. This research uses the MOBIS dataset, a 8-week / 3700-respondent travel survey conducted in Switzerland in 2019. The forecasting model will be applied to the Swiss synthetic population and several scenarios will be considered.
    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), Rico Krueger (PM), Tim Hillel (PM), Melvin Wong, Nour Dougui
    Period: October 01, 2019-June 30, 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.

    Miscellaneous responsibilitiesTop

    Ongoing

      Bierlaire

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

    1. Member of the Editorial Board, Transportation Letters (since February 15, 2021)
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    Finished in 2021

      Bierlaire

    1. Director of the Civil Engineering Institute, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland (September 01, 2017-August 31, 2021)
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    2. Member of the Scientific Committee, Eight International Workshop on Freight Transportation and Logistics, Tangier, Morocco (April 03, 2020-June 04, 2021)
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      Krueger

    1. Reviewer, National Science Foundation (NSF), USA (February 25, 2021-March 18, 2021)
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    Expertise

    • Transportation Research
    • Operations Research
    • Discrete Choice Models

    Methods

    Modeling, optimization, simulation

    Select year