Research

TRANSP-OR: Nicola Ortelli

Nicola Ortelli

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 Nicola Ortelli.

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Nicola Ortelli

International journals

Published

Total: 3

      Papers in conference proceedings

      • Ortelli, N., de Lapparent, M., and Bierlaire, M. (2023). Faster estimation of discrete choice models via weighted dataset reduction. Proceedings of the 11th Symposium of the European Association for Research in Transportation (HEART) 6-8 September 2023, 2023.
      • Ortelli, N., de Lapparent, M., and Bierlaire, M. (2023). Stochastic adaptive resampling for the estimation of discrete choice models. Proceedings of the 23rd Swiss Transport Research Conference (STRC) 10-12 May, 2023.
      • Ortelli, N., de Lapparent, M., and Bierlaire, M. (2022). Faster estimation of discrete choice models via dataset reduction. Proceedings of the 22nd Swiss Transport Research Conference (STRC) 18-20 May, 2022.
      • Ortelli, N., Bierlaire, M., and de Lapparent, M. (2021). Can we infer on behavioral impacts of public policy on accident severity outcomes? A Swiss case study using historical disaggregate accident reports. Proceedings of the 21st Swiss Transport Research Conference (STRC) 12-14 September, 2021.
      • Ortelli, N., Hillel, T., Pereira, F. C., de Lapparent, M., and Bierlaire, M. (2020). Variable Neighborhood Search for Assisted Utility Specification in Discrete Choice Models. Proceedings of the 9th Symposium of the European Association for Research in Transportation (HEART) 3-4 February 2021, 2020.

      Technical reports

      Seminars

      Reviewing

    • Journal of Choice Modelling (1)
    • Transportation Research Part A: Policy and Practice (1)
    • Total: 2 reviews for 2 journals (since 2004). Per year: 2023: 1, 2022: 1.

      Regular teaching

      Mathematical modeling of behavior
      Year: Fall 2023
      Section(s): Mathematics, Master in Financial Engineering
      Lecturer: Michel Bierlaire
      Teaching assistant: Evangelos Paschalidis, Nicola Ortelli, Janody Pougala, Cloe Cortes Balcells
      Webpage: https://moodle.epfl.ch/course/view.php?id=1001
      Mathematical modeling of behavior
      Year: Fall 2022
      Section(s): Mathematics, Master in Financial Engineering
      Lecturer: Michel Bierlaire
      Teaching assistant: Silvia Varotto, Nicola Ortelli, Cloe Cortes Balcells, Tom Haering
      Webpage: https://moodle.epfl.ch/course/view.php?id=1001
      Mathematical modeling of behavior
      Year: Fall 2021
      Section(s): Mathematics, Master in Financial Engineering
      Lecturer: Virginie Lurkin
      Teaching assistant: Melvin Wong, Silvia Varotto, Nicola Ortelli, Janody Pougala
      Webpage: https://moodle.epfl.ch/course/view.php?id=1001
      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
      Mathematical modeling of behavior
      Year: Fall 2019
      Section(s): Mathematics, Master in Financial Engineering
      Lecturer: Michel Bierlaire
      Teaching assistant: Tim Hillel, Meritxell Pacheco, Janody Pougala, Nicola Ortelli
      Webpage: https://moodle.epfl.ch/course/view.php?id=1001

      Miscellaneous lectures

      Logit Mixtures; Combining Data (SP and RP)
      Program: Discrete Choice Analysis: Predicting Individual Behavior and Market Demand, February 13, 2024
      School: EPFL
      Lecturer: Evangelos Paschalidis
      Assistants: Cloe Cortes Balcells, Nicola Ortelli
      Introduction, Logit Estimation and Testing
      Program: Discrete Choice Analysis: Predicting Individual Behavior and Market Demand, February 11, 2024
      School: EPFL
      Lecturer: Tom Haering
      Assistants: Negar Rezvany, Nicola Ortelli, Fabian Torres
      Hierarchical Bayesian Estimation; Individual Prediction
      Program: Discrete Choice Analysis: Predicting Individual Behavior and Market Demand, February 02, 2023
      School: EPFL
      Lecturer: Janody Pougala
      Assistants: Marija Kukic, Nicola Ortelli
      Hybrid choice models
      Program: Discrete Choice Analysis: Predicting Individual Behavior and Market Demand, February 01, 2023
      School: EPFL
      Lecturer: Nicola Ortelli
      Assistants: Tom Haering, Evangelos Paschalidis, Janody Pougala
      Logit Estimation and Specification Testing
      Program: Discrete Choice Analysis: Predicting Individual Behavior and Market Demand, January 29, 2023
      School: EPFL
      Lecturer: Tom Haering
      Assistants: Cloe Cortes Balcells, Marija Kukic, Nicola Ortelli
      Hybrid Choice Models
      Program: Discrete Choice Analysis: Predicting Individual Behavior and Market Demand, February 12, 2021
      School: EPFL
      Lecturer: Nicola Ortelli
      Assistant: Rico Krueger

      Project supervision

      Masters theses

      Pierre Tarazi
      Section: Electrical and Electronics Engineering
      Stochastic and robust hydropower unit commitment
      Supervision:Tom Haering, Nicola Ortelli
      Expert: Maziar Kermani
      20/02/2022-26/08/2022
      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

      Semester projects

      • Improving the specification of migration aspiration discrete choice models via attitudinal variables, Anne-Valérie Preto (SGC), May 31, 2024
      • A detailed evaluation of the Via Sicura program, Mya Jamal Lahjouji (SGC), June 07, 2023
      • Scenario generation for the multi-agent transport simulation toolkit, MATSim, Anne-Valerie Preto (SGC), January 27, 2023
      • Comparison of machine learning techniques for synthetic activity generation, Xinling Li (SGC), January 27, 2023
      • Modelling migration intentions worldwide, Hilda Abigél Horváth (SMA), January 27, 2023
      • Comparing rebalancing operations in car sharing systems, Xinling Li (SGC), July 08, 2022
      • How to assess synthetic data?, Romain Palazzo (SMA), June 13, 2021
      • Road Safety: Investigating the Role of Latent Behaviors in Injury Severity, Daniela Spadaro (SMA), June 07, 2021
      • Enhancing the Serial Estimation of Discrete Choice Models Sequences, Youssef Kitane (SGC), June 22, 2020
      • Estimation of Discrete Choice Models using HAMABS 2.0, Linah Charif (SGC), December 20, 2019