Research

TRANSP-OR: Rico Krueger

Rico Krueger

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 Rico Krueger.

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Rico Krueger

International journals

Published

Total: 12

    Book chapters

    • Bierlaire, M., and Krueger, R. (2024). Sampling and discrete choice. In S. Hess and A. Daly (ed) <em>Handbook of Choice Modelling</em> (ISBN: 9781800375628) pp.693-719. Edward Elgar Publishing.
    • Varotto, S. F., Krueger, R., and Bierlaire, M. (2024). Modelling travel behaviour: a choice modelling perspective . In D. Potoglou and J. Spinney (ed) <em>Handbook of Travel Behavior</em> (ISBN: 978 1 83910 573 9) pp.118-139. Elgar.

    Papers in conference proceedings

    • Cortes Balcells, C., Krueger, R., and Bierlaire, M. (2024). Enhancing Epidemiological Models with Activity-Travel Behavior and Risk Perception: A Simulation Framework for Policy Management . Proceedings of the 24th Swiss Transport Research Conference (STRC) May 15-17, 2024.
    • Cortes Balcells, C., Krueger, R., and Bierlaire, M. (2023). Interdisciplinary Behavioral Model (IBM) for Controlling Infectious Diseases. Proceedings of the 23rd Swiss Transport Research Conference (STRC) May 10-12, 2023.
    • Cortes Balcells, C., Krueger, R., and Bierlaire, M. (2022). SARS-CoV-2 epidemiological model based on socio-economic variables in Switzerland. Proceedings of the 22nd Swiss Transport Research Conference (STRC) May 18-20, 2022.
    • Cortes Balcells, C., Krueger, R., and Bierlaire, M. (2021). Activity-based modeling and simulation of epidemics. Proceedings of the 21st Swiss Transport Research Conference (STRC) September 12-14, 2021.
    • Haering, T., Manser, P., Hillel, T., Pougala, J., Krueger, R., and Bierlaire, M. (2021). Resolving time conflicts in activity-based scheduling: A case study of Lausanne. Proceedings of the 21st Swiss Transport Research Conference (STRC) 12-14 September, 2021.

    Technical reports

    Seminars

    Reviewing

  • Transportation Research Part A: Policy and Practice (11)
  • Transportation Letters: the International Journal of Transportation Research (10)
  • Transportation Research Part C: Emerging Technologies (9)
  • Transportation Research Part B: Methodological (5)
  • Journal of Choice Modelling (3)
  • Accident Analysis and Prevention (2)
  • IEEE Open Journal of Intelligent Transportation Systems (2)
  • International Journal of Sustainable Transportation (2)
  • International Journal of Transportation Science and Technology (2)
  • Journal of Transport Geography (2)
  • Nature Sustainability (2)
  • Research in Transportation Economics (2)
  • AStA Advances in Statistical Analysis (1)
  • Journal of Urban Planning and Developement (1)
  • Networks and Spatial Economics (1)
  • Public Transport (1)
  • Technology in Society (1)
  • Transport Policy (1)
  • Transportation (1)
  • Transportmetrica (1)
  • Total: 60 reviews for 20 journals (since 2004). Per year: 2022: 3, 2021: 37, 2020: 19, 2019: 1.

    Research projects

    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.

    Regular teaching

    Optimization and Simulation
    Year: Spring 2021
    Section(s): Doctoral program in Civil and Environmental Engineering
    Lecturers: Michel Bierlaire, Rico Krueger, Melvin Wong
    Webpage: http://transp-or.epfl.ch/courses/OptSim2021
    Mathematical modeling of behavior
    Year: Fall 2020
    Section(s): Mathematics, Master in Financial Engineering
    Lecturer: Michel Bierlaire
    Teaching assistant: Melvin Wong, Rico Krueger, Janody Pougala, Nicola Ortelli
    Webpage: https://moodle.epfl.ch/course/view.php?id=1001
    Optimization and Simulation
    Year: Spring 2020
    Section(s): Doctoral program in Civil and Environmental Engineering
    Lecturers: Michel Bierlaire, Rico Krueger, Melvin Wong
    Webpage: http://transp-or.epfl.ch/courses/OptSim2020/

    Miscellaneous lectures

    Hybrid Choice Models
    Program: Discrete Choice Analysis: Predicting Individual Behavior and Market Demand, February 12, 2021
    School: EPFL
    Lecturer: Nicola Ortelli
    Assistant: Rico Krueger
    Bayesian Estimation; Individual Prediction
    Program: Discrete Choice Analysis: Predicting Individual Behavior and Market Demand, February 11, 2021
    School: EPFL
    Lecturer: Rico Krueger
    Assistant: Tim Hillel
    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

    Project supervision

    Masters theses

    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

    Semester projects

    • Drawing infection probabilities based on socio-economic characteristics using ML Causal Inference, Hannah Gelblat, February 04, 2022
    • Drawing infection probabilities based on socio-economic characteristics using ML Causal Inference, Mathias Nuris, February 04, 2022
    • Matrix factorisation methods, Ambroise Favre, June 30, 2021
    • Designing a MATSIM environment to study the impact of SARS-CoV-2 in mobility, Antoine Crettenand, June 11, 2021
    • Bayesian analysis of multinomial discrete choice model with t-distributed kernel errors, Thomas Gasos, June 09, 2020

    Past activities (2)

    • Member of the Editorial Board, Transportation Letters (February 15, 2021-January 31, 2022)
    • Reviewer, National Science Foundation (NSF), USA (February 25, 2021-March 18, 2021)