TRANSP-OR: Janody Pougala

Janody Pougala

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 Janody Pougala.

Select an item on the menu on the right. If no menu appears, it means that no record is in the database for the moment.

More information may be available here

Janody Pougala

      Papers in conference proceedings

      • Pougala, J., Hillel, T., and Bierlaire, M. (2020). Scheduling of daily activities: an optimization approach. Proceedings of the 20th Swiss Transport Research Conference (STRC) 13-14 May, 2020.


        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.
        Sponsor: Swiss Federal Railways (SBB)
        Team: Michel Bierlaire (PI), Tim Hillel (PM), Janody Pougala
        Period: March 01, 2019-March 01, 2020
        This research project aims to update and improve the microscopic activity-based demand model developed and maintained by SBB. Specifically the research intends to address the following questions: 1. Ownership of mobility instruments: Which metrics and specifications can be added to the current model, in order to improve its ability to forecast mid-and long-term ownership of mobility instruments? More specifically, how can the notion of accessibility be integrated to the current model to capture more complex mode interactions? 2. Mode choice model: Can a tour-based approach be used to model mode choice? In addition, how can the processes to estimate destination and mode choice (currently nested) be combined to generate results that are consistent with observed mobility behaviors at different time horizons (short, mid, and long-term)? 3. Tour and activity generation: How can the generation of tours and activity patterns be combined to allow modelling of joint decisions?

        Regular teaching

        Mathematical modeling of behavior
        Year: Fall 2020
        Section(s): Mathematics, Master in Financial Engineering
        Lecturers: Michel Bierlaire, Meritxell Pacheco, Tim Hillel
        Teaching assistant: Melvin Wong, Rico Krueger, Janody Pougala, Nicola Ortelli
        Decision-aid methodologies in transportation
        Year: Spring 2020
        Section(s): Civil Engineering
        Lecturers: Tim Hillel, Nour Dougui
        Teaching assistant: Stefano Bortolomiol, Gael Lederrey, Selin Atac, Janody Pougala
        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

        Project supervision

        Masters theses

        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
        Sergej Gasparovich
        Section: Civil Engineering
        Generating daily activity schedules using machine learning
        Supervision:Janody Pougala, Tim Hillel, Michel Bierlaire
        Expert: Antonin Danalet

        Semester projects

        • Generating choice sets of transport modes for activity based applications, Benoit Pahud (GC), January 29, 2021
        • Generating choice sets of destinations for activity based applications, Nicolas Salvadé (GC), January 29, 2021
        • Investigating daily activity patterns, Sergey Gasparovich (GC), January 31, 2020
        • Tour-based mode choice modelling, Adrien Nicolet (SGC), January 31, 2020