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: 9

      Papers in conference proceedings

      • 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

      Miscellaneous responsibilities

      Ongoing activities (1)

      Past activities (1)

      • Reviewer, National Science Foundation (NSF), USA (February 25, 2021-March 18, 2021)