Research

TRANSP-OR: Marija Kukic

Marija Kukic

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 Marija Kukic.

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Marija Kukic

      Papers in conference proceedings

      • Kukic, M., Benchelabi, S., and Bierlaire, M. (2023). Hybrid Simulator for Capturing Dynamics of Synthetic Population. Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems (ITSC) 24 September -28 September, 2023.
      • Kukic, M., and Bierlaire, M. (2023). Hybrid Simulator for Capturing Dynamics of Synthetic Population. Proceedings of the 23rd Swiss Transport Research Conference (STRC) 10-12 May, 2023.
      • Kukic, M., and Bierlaire, M. (2022). One-step simulator for synthetic household generation. Proceedings of the 22nd Swiss Transport Research Conference (STRC) 18-20 May, 2022.
      • Kukic, M., and Bierlaire, M. (2021). Population synthesis at the level of households. Proceedings of the 21st Swiss Transport Research Conference (STRC) 12-14 September, 2021.

      Technical reports

      Seminars

      Reviewing

    • Transportation Research Part C: Emerging Technologies (1)

      • Total: 1 reviews for 1 journals (since 2004). Per year: 2024: 1.

      Research projects

      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.

      Regular teaching

      Introduction to Transportation Systems
      Year: Spring 2024
      Section(s): Civil Engineering
      Lecturer: Michel Bierlaire
      Teaching assistant: Marija Kukic, Negar Rezvany
      Introduction to optimization and operations research
      Year: Fall 2023
      Section(s): Mechanical Engineering, Civil Engineering, Environmental Sciences and Engineering, Electrical and Electronics Engineering
      Lecturer: Michel Bierlaire
      Teaching assistant: Fabian Torres, Léa Ricard, Marija Kukic, Tom Haering
      Introduction to Transportation Systems
      Year: Spring 2023
      Section(s): Civil Engineering
      Lecturer: Michel Bierlaire
      Teaching assistant: Marija Kukic, Janody Pougala, Mengyi Wang
      Introduction to optimization and operations research
      Year: Fall 2022
      Section(s): Mechanical Engineering, Civil Engineering, Environmental Sciences and Engineering, Electrical and Electronics Engineering
      Lecturer: Michel Bierlaire
      Teaching assistant: Fabian Torres, Selin Atac, Marija Kukic, Negar Rezvany
      Decision-aid methodologies in transportation
      Year: Spring 2022
      Section(s): Civil Engineering
      Lecturers: Tim Hillel, Nour Dougui
      Teaching assistant: Selin Atac, Janody Pougala, Marija Kukic, Negar Rezvany
      Decision-aid methodologies in transportation
      Year: Spring 2021
      Section(s): Civil Engineering
      Lecturers: Tim Hillel, Nour Dougui
      Teaching assistant: Selin Atac, Janody Pougala, Marija Kukic, Negar Rezvany
      Webpage: https://transp-or.epfl.ch/courses/decisionAid2020/index.php
      Introduction to optimization and operations research
      Year: Fall 2020
      Section(s): Mechanical Engineering, Civil Engineering, Environmental Sciences and Engineering, Electrical and Electronics Engineering
      Lecturer: Michel Bierlaire
      Teaching assistant: Nour Dougui, Selin Atac, Stefano Bortolomiol, Marija Kukic

      Miscellaneous lectures

      Bayesian Estimation; Individual Prediction
      Program: Discrete Choice Analysis: Bayesian estimation and Individual prediction, February 15, 2024
      School: EPFL
      Lecturer: Pavel Ilinov
      Assistants: Marija Kukic, Evangelos Paschalidis
      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
      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

      Project supervision

      Masters theses

      Salim Benchelabi
      Section: Mathematics
      Capturing dynamics in synthetic population
      Supervision:Marija Kukic, Janody Pougala, Michel Bierlaire
      Expert: Antonin Danalet
      20/02/2023-26/06/2023
      Quentin Bochud
      Section: Civil Engineering
      Synthetic generation of activity motifs
      Supervision:Marija Kukic, Janody Pougala, Michel Bierlaire
      Expert: Gael Lederrey
      20/02/2023-26/06/2023
      Nicolas Richter
      Section: Civil Engineering
      Modélisation du réseau de transports publics genevois à la suite d'un événement réseau
      Supervision:Marija Kukic, Janody Pougala, Michel Bierlaire
      Expert: Antoine Stroh
      21/09/2021-17/01/2022
      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

      Semester projects

      • Comparison of different methodologies for interpolating traffic count data, Mya Jamal Lahjouji (SGC), May 31, 2024
      • Generating a synthetic population with health and COVID-19 information, Aline Janvier, January 15, 2024
      • Comparison of machine learning techniques for synthetic activity generation, Xinling Li (SGC), January 27, 2023
      • Synthetic generation of activity motifs, Bochud Quentin Philippe (SGC), January 27, 2023
      • Divide and conquer one-step simulator for synthetic household generation, Xinling Li (SGC), September 15, 2022
      • Road sections clustering, Salim Benchelabi (SMA), June 07, 2022
      • Modeling Geneva's public transport network following disruption events, Nicolas Richter (SGC), July 09, 2021
      • The railway timetable rescheduling problem, Benoit Pahud (SGC), February 19, 2021