Evanthia Kazagli

Journal publications [3]

2020

Kazagli E., Bierlaire M., de Lapparent M. (2020). Operational route choice methodologies for practical applications. Transportation 47 :43-74

This paper focuses on the application of tractable route choice models and presents a set of methods for deriving relevant disaggregate and aggregate route choice indicators, namely link and route flows. Tractability is achieved at the disaggregate level by the recursive logit model and at the aggregate level by the mental representation item (MRI) approach. These two approaches are analyzed here, and extensions of the MRI approach are presented. The analysis elaborates on the features of each model and allows to draw insights into the use of a specific model, depending on the needs of the application and the data availability. The performance of the two models is tested on real data. The results demonstrate the validity of the MRI model that is intended for aggregate analysis.
```
@Article{KazBierLap_2017_TRANSPORTATION,
  author = {Evanthia Kazagli and Michel Bierlaire and Matthieu {de Lapparent}},
  title = {Operational route choice methodologies for practical applications},
  journal = {Transportation},
  year = {2020},
  volume = {47},
  pages = {43-74},
  DOI = {10.1007/s11116-017-9849-0},
  note = {Accepted on Dec 21, 2017}}}
```

2016

Kazagli E., Bierlaire M., Flötteröd G. (2016). Revisiting the Route Choice Problem: A Modeling Framework Based on Mental Representations. Journal of Choice Modelling 19 :1-23


@Article{KazBierFlo_JoCM_2016,
  author = {Evanthia Kazagli and Michel Bierlaire and Gunnar Fl\"otter\"od},
  title = {Revisiting the Route Choice Problem: A Modeling Framework Based on Mental Representations},
  journal = {Journal of Choice Modelling},
  year = {2016},
  volume = {19},
  pages = {1-23},
  DOI = {10.1016/j.jocm.2016.06.001},
  note = {Accepted on Jun 07, 2016}}}

2013

Kazagli E., Koutsopoulos H. (2013). Estimation of Arterial Travel Time from Automatic Number Plate Recognition Data. Transportation Research Record 2391 :22-31


@Article{KazKoutsTRR_2013,
  author = {Evanthia Kazagli and Haris Koutsopoulos},
  title = {Estimation of Arterial Travel Time from Automatic Number Plate Recognition Data},
  journal = {Transportation Research Record},
  year = {2013},
  volume = {2391},
  pages = {22-31},
  DOI = {10.3141/2391-03},
  note = {Accepted on Feb 26, 2013}}}

Book chapters [1]

2014

Kazagli E., Chen J., Bierlaire M. (2014) Individual Mobility Analysis Using Smartphone Data. In Soora Rasouli and Harry Timmermans (ed) Mobile Technologies for Activity-Travel Data Collection and Analysis, IGI Global [ISBN 9781466661707]


@InProceedings{KazChenBier_IGI,
  author = {Evanthia Kazagli and Jingmin Chen and Michel Bierlaire},
  title = { Individual Mobility Analysis Using Smartphone Data},
  year = {2014},
  booktile = {Mobile Technologies for Activity-Travel Data Collection and Analysis},
  editor = {Soora Rasouli and Harry Timmermans},
  publisher = {IGI Global},
  pages = {187-208}}}

Technical reports [2]

2017

Kazagli E., Bierlaire M., de Lapparent M. (2017). Operational route choice methodologies for practical applications. Report TRANSP-OR 170526


@TechReport{KazBierDeLap2017,
  author = {Evanthia Kazagli and Michel Bierlaire and Matthieu {de Lapparent}},
  title = {Operational route choice methodologies for practical applications},
  institution = {Transport and Mobility Laboratory, Ecole Polytechnique F\'ed\'erale de Lausanne},
  year = {2017},
  type = {Technical Report},
  number = {TRANSP-OR 170526},
  address = {Lausanne, Switzerland}}}

2015

Kazagli E., Bierlaire M., Flötteröd G. (2015). Revisiting the Route Choice Problem: A Modeling Framework Based on Mental Representations. Report TRANSP-OR 150824


@TechReport{KazBierFloe_2015,
  author = {Evanthia Kazagli and Michel Bierlaire and Gunnar Fl\"otter\"od},
  title = {Revisiting the Route Choice Problem: A Modeling Framework Based on Mental Representations},
  institution = {Transport and Mobility Laboratory, Ecole Polytechnique F\'ed\'erale de Lausanne},
  year = {2015},
  type = {Technical Report},
  number = {TRANSP-OR 150824},
  address = {Lausanne, Switzerland}}}

Articles in conference proceedings [6]

2017

Montesinos M., Ortelli N., Bellocchi L., Kazagli E., Geroliminis N. (2017) Modeling simplicity in drivers' route choice behavior. Proceedings of the 17th Swiss Transport Research Conference (STRC), 17-19, 2017, Ascona, Switzerland


@InProceedings{MonOrtBelKazGer_STRC2017,
  author = {Marti Montesinos and Nicola Ortelli and Leonardo Bellocchi and Evanthia Kazagli and Nikolas Geroliminis},
  title = {Modeling simplicity in drivers' route choice behavior},
  booktime = {Proceedings of the 17th Swiss Transport Research Conference (STRC), 17-19, 2017},
  year = {2017},
  address = {Ascona, Switzerland}}}

2016

Kazagli E., Bierlaire M. (2016) Assessing complex route choice models using mental representations. Proceedings of the 16th Swiss Transport Research Conference (STRC), May 19-20, 2016, Ascona, Switzerland


@InProceedings{KazBier_STRC2016,
  author = {Evanthia Kazagli and Michel Bierlaire},
  title = {Assessing complex route choice models using mental representations},
  booktime = {Proceedings of the 16th Swiss Transport Research Conference (STRC), May 19-20, 2016},
  year = {2016},
  address = {Ascona, Switzerland}}}

2015

Kazagli E., Bierlaire M. (2015) A Route Choice Model based on Mental Representations. Proceedings of the Proceedings of the 15th Swiss Transport Research Conference (STRC), April 15-17, Monte Verit�, Ascona, Switzerland


@InProceedings{KazBier_STRC15,
  author = {Evanthia Kazagli and Michel Bierlaire},
  title = {A Route Choice Model based on Mental Representations},
  booktime = {Proceedings of the Proceedings of the 15th Swiss Transport Research Conference (STRC), April 15-17},
  year = {2015},
  address = {Monte Verit\`a, Ascona, Switzerland}}}

2014

Kazagli E., Bierlaire M. (2014) Revisiting Route Choice Modeling: A Multi-Level Modeling Framework for Route Choice Behavior. Proceedings of the Swiss Transportation Research Conference (STRC), 14 - 16 May, Ascona, Switzerland


@InProceedings{KazBierSTRC14,
  author = {Evanthia Kazagli and Michel Bierlaire},
  title = {Revisiting Route Choice Modeling: A Multi-Level Modeling Framework for Route Choice Behavior},
  booktime = {Proceedings of the Swiss Transportation Research Conference (STRC), 14 - 16 May},
  year = {2014},
  address = {Ascona, Switzerland}}}

2013

Kazagli E., Koutsopoulos H. (2013) Arterial Travel Time Estimation from Automatic Number Plate Recognition Data. Proceedings of the 92nd Annual Transportation Research Board MeetingJanuary 13-17, Washington, D.C.,


@InProceedings{KazKoutsTRB_2013,
  author = {Evanthia Kazagli and Haris Koutsopoulos},
  title = {Arterial Travel Time Estimation from Automatic Number Plate Recognition Data},
  booktime = {Proceedings of the 92nd Annual Transportation Research Board Meeting, January 13-17},
  year = {2013},
  address = {Washington, D.C., }}}

Kazagli E., Chen J., Bierlaire M. (2013) Incorporating �Mental Maps� in Route Choice Modeling: Preliminary Ideas. Proceedings of the 13th Swiss Transport Research Conference (STRC), 24-26 April, 2013, Ascona, Switzerland


@InProceedings{KazBier_STRC2013,
  author = {Evanthia Kazagli and Jingmin Chen and Michel Bierlaire},
  title = {Incorporating {\textquotedblleft}Mental Maps{\textquotedblright} in Route Choice Modeling: Preliminary Ideas},
  booktime = {Proceedings of the 13th Swiss Transport Research Conference (STRC), 24-26 April, 2013},
  year = {2013},
  address = {Ascona, Switzerland}}}

Talks [17]

2017

Kazagli E., Bierlaire M. Application of the MRI framework to a large network: Qu�bec city, June 22, 2017. Workshop on Discrete Choice Models 2017, EPFL, Lausanne, Switzerland.


@Misc{Kaz_DCAwork17,
  author = {Evanthia Kazagli and Michel Bierlaire},
  title = {Application of the MRI framework to a large network: Qu\'ebec city,},
  howpublished = {\url{https://transp-or.epfl.ch/documents/talks/Kaz_DCAwork17.pdf}},
  year = {2017},
  note = {Presented at Workshop on Discrete Choice Models 2017, EPFL, Lausanne, Switzerland}}}

Kazagli E. Modeling route choice using aggregate models May 24, 2017. Invited lecture, Ecole des Ponts - ParisTech, Paris.


@Misc{EdP_Kazagli_2017,
  author = {Evanthia Kazagli},
  title = {Modeling route choice using aggregate models},
  howpublished = {\url{https://transp-or.epfl.ch/documents/talks/EdP_Kazagli_2017.pdf}},
  year = {2017},
  note = {Presented at Invited lecture, Ecole des Ponts - ParisTech, Paris}}}

Kazagli E., Bierlaire M., de Lapparent M. Modeling route choice in Qu�bec city using mental representations May 18, 2017. 17th Swiss Transport Research Conference (STRC), Ascona.


@Misc{Kaz_STRC-2017,
  author = {Evanthia Kazagli and Michel Bierlaire and Matthieu {de Lapparent}},
  title = {Modeling route choice in Qu\'ebec city using mental representations },
  howpublished = {\url{https://transp-or.epfl.ch/documents/talks/Kaz_STRC-2017.pdf}},
  year = {2017},
  note = {Presented at 17th Swiss Transport Research Conference (STRC), Ascona}}}

2016

Kazagli E., Bierlaire M. Assessing complex route choice models using an abstracted network based on mental representations September 16, 2016. hEART 2016, 5th Symposium of the European Association for Research in Transportation, Delft University of Technology, Delft, Netherlands.


@Misc{hEART-2016_Kazagli,
  author = {Evanthia Kazagli and Michel Bierlaire},
  title = {Assessing complex route choice models using an abstracted network based on mental representations},
  howpublished = {\url{https://transp-or.epfl.ch/documents/talks/hEART-2016_Kazagli.pdf}},
  year = {2016},
  note = {Presented at hEART 2016, 5th Symposium of the European Association for Research in Transportation, Delft University of Technology, Delft, Netherlands}}}

Kazagli E., Bierlaire M. Assessing complex route choice models using an abstracted network based on mental representations June 16, 2016. TRISTAN IX, Oranjestad, Aruba.


@Misc{TRISTAN-2016_Kazagli,
  author = {Evanthia Kazagli and Michel Bierlaire},
  title = {Assessing complex route choice models using an abstracted network based on mental representations},
  howpublished = {\url{https://transp-or.epfl.ch/documents/talks/TRISTAN-2016_Kazagli.pdf}},
  year = {2016},
  note = {Presented at TRISTAN IX, Oranjestad, Aruba}}}

Kazagli E., Bierlaire M. Assessing complex route choice models using mental representations May 18, 2016. 16th Swiss Transport Research Conference (STRC), Ascona, Switzerland.


@Misc{STRC-2016_Kazagli,
  author = {Evanthia Kazagli and Michel Bierlaire},
  title = {Assessing complex route choice models using mental representations},
  howpublished = {\url{https://transp-or.epfl.ch/documents/talks/STRC-2016_Kazagli.pdf}},
  year = {2016},
  note = {Presented at 16th Swiss Transport Research Conference (STRC), Ascona, Switzerland}}}

Kazagli E. Dealing with structural correlation in discrete choice models: The complex case of route choice May 12, 2016. Invited lecture, Ecole des Ponts - ParisTech, Paris.


@Misc{EdP_Kazagli,
  author = {Evanthia Kazagli},
  title = {Dealing with structural correlation in discrete choice models: The complex case of route choice},
  howpublished = {\url{https://transp-or.epfl.ch/documents/talks/EdP_Kazagli.pdf}},
  year = {2016},
  note = {Presented at Invited lecture, Ecole des Ponts - ParisTech, Paris}}}

Kazagli E., Bierlaire M. Assessing complex route choice models using an abstracted network based on mental representations April 21, 2016. 11th Workshop on Discrete Choice Models, EPFL, Lausanne, Switzerland.


@Misc{KazBierDCA16,
  author = {Evanthia Kazagli and Michel Bierlaire},
  title = {Assessing complex route choice models using an abstracted network based on mental representations},
  howpublished = {\url{https://transp-or.epfl.ch/documents/talks/KazBierDCA16.pdf}},
  year = {2016},
  note = {Presented at 11th Workshop on Discrete Choice Models, EPFL, Lausanne, Switzerland}}}

2015

Kazagli E., Bierlaire M., Flötteröd G. Assessment of A Route Choice Model Based on Mental Representations for Practical Applications September 11, 2015. hEART 2015, 4th Symposium of the European Association for Research in Transportation, Technical University of Denmark (DTU), Copenhagen, Denmark.


@Misc{hEART-2015_Kazagli,
  author = {Evanthia Kazagli and Michel Bierlaire and Gunnar Fl\"otter\"od},
  title = {Assessment of A Route Choice Model Based on Mental Representations for Practical Applications},
  howpublished = {\url{https://transp-or.epfl.ch/documents/talks/hEART-2015_Kazagli.pdf}},
  year = {2015},
  note = {Presented at hEART 2015, 4th Symposium of the European Association for Research in Transportation, Technical University of Denmark (DTU), Copenhagen, Denmark}}}

Kazagli E., Bierlaire M. A Route Choice Model Based on Mental Representations May 28, 2015. 10th Workshop on Discrete Choice Models 2015, EPFL, Lausanne, Switzerland.


@Misc{DCA-2015_Kazagli,
  author = {Evanthia Kazagli and Michel Bierlaire},
  title = {A Route Choice Model Based on Mental Representations},
  howpublished = {\url{https://transp-or.epfl.ch/documents/talks/DCA-2015_Kazagli.pdf}},
  year = {2015},
  note = {Presented at 10th Workshop on Discrete Choice Models 2015, EPFL, Lausanne, Switzerland}}}

Kazagli E., Bierlaire M. Revisiting the Route Choice Problem: A Modeling Framework Based on Mental Representations May 12, 2015. International Choice Modelling Conference 2015, Austin, Texas - USA.


@Misc{KazBierICMC15,
  author = {Evanthia Kazagli and Michel Bierlaire},
  title = {Revisiting the Route Choice Problem: A Modeling Framework Based on Mental Representations},
  howpublished = {\url{https://transp-or.epfl.ch/documents/talks/KazBierICMC15.pdf}},
  year = {2015},
  note = {Presented at International Choice Modelling Conference 2015, Austin, Texas - USA}}}

Kazagli E., Bierlaire M. A Route Choice Model based on Mental Representations April 16, 2015. 15th Swiss Transport Research Conference (STRC), Monte Verità, Ascona, Switzerland.


@Misc{KazBierSTRC15,
  author = {Evanthia Kazagli and Michel Bierlaire},
  title = { A Route Choice Model based on Mental Representations},
  howpublished = {\url{https://transp-or.epfl.ch/documents/talks/KazBierSTRC15.pdf}},
  year = {2015},
  note = {Presented at 15th Swiss Transport Research Conference (STRC), Monte Verit\à, Ascona, Switzerland}}}

2014

Kazagli E., Bierlaire M. Revisiting Route Choice Modeling: A Multi-Level Modeling Framework for Route Choice Behavior September 12, 2014. hEART 2014, 3rd Symposium of the European Association for Research in Transportation, Institute for Transport Studies, University of Leeds, Leeds, United Kingdom.


@Misc{KazBier_hEART-2014,
  author = {Evanthia Kazagli and Michel Bierlaire},
  title = {Revisiting Route Choice Modeling: A Multi-Level Modeling Framework for Route Choice Behavior},
  howpublished = {\url{https://transp-or.epfl.ch/documents/talks/KazBier_hEART-2014.pdf}},
  year = {2014},
  note = {Presented at hEART 2014, 3rd Symposium of the European Association for Research in Transportation, Institute for Transport Studies, University of Leeds, Leeds, United Kingdom}}}

Kazagli E., Bierlaire M. Revisiting Route Choice Modeling: A Multi-Level Modeling Framework for Route Choice Behavior June 20, 2014. 9th Workshop on Discrete Choice Models, EPFL, Lausanne, Switzerland.


@Misc{KazBierDCA14,
  author = {Evanthia Kazagli and Michel Bierlaire},
  title = {Revisiting Route Choice Modeling: A Multi-Level Modeling Framework for Route Choice Behavior},
  howpublished = {\url{https://transp-or.epfl.ch/documents/talks/KazBierDCA14.pdf}},
  year = {2014},
  note = {Presented at 9th Workshop on Discrete Choice Models, EPFL, Lausanne, Switzerland}}}

Kazagli E., Bierlaire M. Revisiting Route Choice Modeling: A Multi-Level Modeling Framework for Route Choice Behavior May 15, 2014. Swiss Transport Research Conference, Ascona, Switzerland.


@Misc{KazBier_STRC14,
  author = {Evanthia Kazagli and Michel Bierlaire},
  title = {Revisiting Route Choice Modeling: A Multi-Level Modeling Framework for Route Choice Behavior},
  howpublished = {\url{https://transp-or.epfl.ch/documents/talks/KazBier_STRC14.pdf}},
  year = {2014},
  note = {Presented at Swiss Transport Research Conference, Ascona, Switzerland}}}

2013

Kazagli E. Incorporating Travelers� Mental Representations in Route Choice Modeling July 15, 2013. DATA SIM Summer School 2013, Mobility Modeling and Big Data Sources, Hasselt University, Hasselt, Belgium.


@Misc{Kazagli_DATASIM-2013,
  author = {Evanthia Kazagli},
  title = {Incorporating Travelers{\textquoteright} Mental Representations in Route Choice Modeling},
  howpublished = {\url{https://transp-or.epfl.ch/documents/talks/Kazagli_DATASIM-2013.pdf}},
  year = {2013},
  note = {Presented at DATA SIM Summer School 2013, Mobility Modeling and Big Data Sources, Hasselt University, Hasselt, Belgium}}}

Kazagli E., Chen J., Bierlaire M. Incorporating �Mental Maps� in Route Choice Modeling: Preliminary Ideas April 25, 2013. Swiss Transportation Research Conference (STRC), Ascona, Switzerland.


@Misc{Kazagli_STRC-2013,
  author = {Evanthia Kazagli and Jingmin Chen and Michel Bierlaire},
  title = {Incorporating {\textquotedblleft}Mental Maps{\textquotedblright} in Route Choice Modeling: Preliminary Ideas},
  howpublished = {\url{https://transp-or.epfl.ch/documents/talks/Kazagli_STRC-2013.pdf}},
  year = {2013},
  note = {Presented at Swiss Transportation Research Conference (STRC), Ascona, Switzerland}}}

Awards [1]

2013

Evanthia Kazagli. Best Master Thesis, Swedish Operations Research Association.
The prize of the Best Master Thesis in the field of Operations Research is awarded every year by the Swedish Operations Research Association to encourage the students working in the field and to help disseminate high-quality thesis. Eva's thesis, entitled "Arterial Travel Time Estimation from Automatic Number Plate Recognition Data", that was elaborated in the Division of Traffic and Logistics, Dept. of Transport Science at KTH, and supervised by Prof. Haris Koutsopoulos, won the prize for 2012..

Reviewing [3]

Research projects [1]

2013

Revisiting the Route Choice Problem: A Multi-Level Modeling Framework for Route Choice Analysis Based On Latent Constructs

This project aims at developing behavioral models integrating the latent constructs that drive travel behavior. The objective of the project is to set the foundations of an innovative framework that facilitates the analysis and prediction of route choice behavior. Motivated by the complexity of the route choice models, we build on solid ground of the current state of the art and add on it by proposing a new approach that reduces model complexity and brings great flexibility to the analysis. The approach is inspired by the fact that people break down the complexity of the environment by forming representations of their surrounding space. Following this reasoning, we replace the conventional representation of routes which is based on paths, i.e. link-by-link sequences on the network model, with more aggregate elements that we denote as mental representation items. This key feature of the framework allows us to reduce the complexity of the model and at the same time is more behaviorally realistic.
- Oct 01, 2013 - Sep 30, 2016
- Sponsor: Swiss National Science Foundation
- Principal investigator: Michel Bierlaire
- Project manager: Matthieu de Lapparent
- Collaborator: Evanthia Kazagli

EPFL courses [8]

Fall 2017

Mathematical modeling of behavior.
- Level: Master
- Sections: Mathematics, Master in Financial Engineering
- Lecturer: Michel Bierlaire
- Teaching assistants: Meritxell Pacheco, Anna Fernandez Antolin, Evanthia Kazagli, Yuki Oyama
- Webpage: http://transp-or.epfl.ch/courses/dca2017

Fall 2016

Mathematical modeling of behavior.
- Level: Master
- Sections: Mathematics, Master in Financial Engineering
- Lecturer: Michel Bierlaire
- Teaching assistants: Evanthia Kazagli, Anna Fernandez Antolin, Meritxell Pacheco
- Webpage: http://transp-or.epfl.ch/courses/dca2016

Spring 2016

Decision-aid methodologies in transportation.
- Level: Master
- Section: Civil Engineering
- Lecturers: Matthieu de Lapparent, Shadi Sharif Azadeh
- Teaching assistants: Anna Fernandez Antolin, Tom�s Robenek, Yousef Maknoon, Evanthia Kazagli
- Webpage: http://transp-or.epfl.ch/courses/decisionAid2016/index.php

Fall 2015

Mathematical modeling of behavior.
- Level: Master
- Sections: Mathematics, Master in Financial Engineering
- Lecturers: Michel Bierlaire, Matthieu de Lapparent
- Teaching assistants: Evanthia Kazagli, Anna Fernandez Antolin
- Webpage: http://transp-or.epfl.ch/courses/dca2015/

Spring 2015

Decision-aid methodologies in transportation.
- Level: Master
- Section: Civil Engineering
- Lecturers: Matthieu de Lapparent, Shadi Sharif Azadeh
- Teaching assistants: Evanthia Kazagli, Anna Fernandez Antolin, Iliya Markov, Yousef Maknoon
- Webpage: http://transp-or.epfl.ch/courses/decisionAid2015/index.php

Fall 2014

Mathematical modeling of behavior.
- Level: Master
- Sections: Mathematics, Master in Financial Engineering
- Lecturers: Michel Bierlaire, Matthieu de Lapparent
- Teaching assistants: Anna Fernandez Antolin, Evanthia Kazagli
- Webpage: http://transp-or.epfl.ch/courses/dca2014/

Fall 2013

Mathematical modeling of behavior.
- Level: Master
- Sections: Mathematics, Master in Financial Engineering
- Lecturers: Michel Bierlaire, Amanda Stathopoulos
- Teaching assistants: Evanthia Kazagli, Anna Fernandez Antolin
- Webpage: http://transp-or.epfl.ch/courses/dca2013/

Spring 2013

Decision-aid methodologies in transportation.
- Level: Master
- Section: Civil Engineering
- Lecturers: Michel Bierlaire, Jianghang Chen
- Teaching assistants: Evanthia Kazagli, Tom�s Robenek
- Webpage: http://transp-or.epfl.ch/courses/decisionAid2013

Lectures [9]

2017

Hybrid Choice Models (ctd).
- Discrete Choice Analysis: Predicting Demand and Market Shares, EPFL, Lausanne, Switzerland
- Feb 16, 2017 - Feb 16, 2017
- Lecturer: Matthieu de Lapparent
- Assistants: Evanthia Kazagli, Meritxell Pacheco, Anna Fernandez Antolin
Logit Mixture; Hybrid Choice Models.
- Discrete Choice Analysis: Predicting Demand and Market Shares, EPFL, Lausanne, Switzerland
- Feb 15, 2017 - Feb 15, 2017
- Lecturer: Matthieu de Lapparent
- Assistants: Evanthia Kazagli, Meritxell Pacheco, Anna Fernandez Antolin
Forecasting; Combining RP and SP.
- Discrete Choice Analysis: Predicting Demand and Market Shares, EPFL, Lausanne, Switzerland
- Feb 14, 2017 - Feb 14, 2017
- Lecturer: Meritxell Pacheco
- Assistants: Evanthia Kazagli, Matthieu de Lapparent, Anna Fernandez Antolin
Nested logit; Specification testing.
- Discrete Choice Analysis: Predicting Demand and Market Shares, EPFL, Lausanne, Switzerland
- Feb 13, 2017 - Feb 13, 2017
- Lecturer: Evanthia Kazagli
- Assistants: Meritxell Pacheco, Matthieu de Lapparent, Anna Fernandez Antolin
Introduction; Logit estimation.
- Discrete Choice Analysis: Predicting Demand and Market Shares, EPFL, Lausanne, Switzerland
- Feb 12, 2017 - Feb 12, 2017
- Lecturer: Evanthia Kazagli
- Assistants: Meritxell Pacheco, Matthieu de Lapparent, Anna Fernandez Antolin

2016

Logit Mixture; Combining SP and RP.
- Discrete Choice Analysis: Predicting Demand and Market Shares, EPFL, Lausanne, Switzerland
- Mar 23, 2016 - Mar 23, 2016
- Lecturer: Matthieu de Lapparent
- Assistants: Evanthia Kazagli, Anna Fernandez Antolin
Forecasting; Nested Logit.
- Discrete Choice Analysis: Predicting Demand and Market Shares, EPFL, Lausanne, Switzerland
- Mar 22, 2016 - Mar 22, 2016
- Lecturer: Anna Fernandez Antolin
- Assistants: Evanthia Kazagli, Matthieu de Lapparent
Logit Models; Specification testing.
- Discrete Choice Analysis: Predicting Demand and Market Shares, EPFL, Lausanne, Switzerland
- Mar 21, 2016 - Mar 21, 2016
- Lecturer: Anna Fernandez Antolin
- Assistants: Evanthia Kazagli, Matthieu de Lapparent
Introduction; binary choice.
- Discrete Choice Analysis: Predicting Demand and Market Shares, EPFL, Lausanne, Switzerland
- Mar 20, 2016 - Mar 20, 2016
- Lecturer: Evanthia Kazagli
- Assistants: Anna Fernandez Antolin, Meritxell Pacheco

MSc theses [3]

2017

Modeling Heterogeneity of Drivers Route Choice Behavior in Quebec, Mathieu Plourde (Civil Engineering)
- Supervision: Evanthia Kazagli, Matthieu de Lapparent, Michel Bierlaire
- External expert: Charisma Choudhury

2014

Individual activity-travel analysis based on smartphone WiFi data, Amélie Buisson (Civil Engineering)
- Supervision: Evanthia Kazagli, Antonin Danalet
- External expert: Dr Francisco Pereira
Mode Choice Analysis Using Smartphone Data, Michael Friederich (Civil Engineering)
- Supervision: Evanthia Kazagli, Marija Nikolic, Anna Fernandez Antolin
- External expert:

Semester projects [11]

2017

Identifying the objectives of car drivers route choice behavior, Nicola Marco Ortelli

Supervision: Evanthia Kazagli, Marija Nikolic, Michel Bierlaire
The goal of this project is to shed light on the underlying objectives of car drivers' behavior --- pertaining to their route choices --- when traveling from one location of a transportation network to another. The student will use clustering methods, defined on the basis of different measures of similarity, that are associated with potential objectives such as the minimization of the travel time, the length or the complexity of a route. The results of the clustering will be analyzed to draw insights into the use of specific objectives depending on the features of the trip, such as the origin and destination points, and the departure time. The project involves an initial stage of data processing. The student needs to have good programming skills (Matlab or equivalent) and good knowledge of statistics. Familiarity with SQL is a plus.

Analysis of pedestrian group behavior based on tracking data and pattern recognition methods, Montesinos Ferrer Martí

Supervision: Marija Nikolic, Evanthia Kazagli, Zhengchao Wang
The objective of this project is to analyze the group behavior among pedestrians based on individual trajectory data. The data is collected in Lausanne train station, where a large-scale network of smart sensors has been used to track pedestrians. The project aims to improve the understanding of group behavior among pedestrians and its impact on pedestrian dynamics. It involves the following steps: (i) Development/selection of suitable methods (e.g. data mining/pattern recognition) for identification of individuals walking together, based on pedestrian trajectory data, and their implementation. (ii) Analysis focused on the behavior of identified groups; (iii) Comparison of the findings with the existing empirical basis, as well as with the proposed theories and models that take group dynamics into account. The student needs to have good programming skills (Scala/Matlab), and knowledge of statistical analysis.

2016

4. Modeling Route Choice in Quebec City Using Mental Representations, Mathieu Plourde

Supervision: Evanthia Kazagli, Matthieu de Lapparent, Michel Bierlaire
In this project, we build upon previous work proposed by Kazagli et al., 2016 to model route choice for a big network and dataset concerning the city of Quebec. We aim first to define the mental representation items (MRIs) for the case study and then to derive operational route choice models based on them. A GPS dataset from the city of Quebec is available and will be used for this purpose. The focus of the project is methodological.

Modeling route choice in Québec using mental representations, Mathieu Plourde

Supervision: Evanthia Kazagli, Matthieu de Lapparent, Michel Bierlaire
In this project, we aim at simplifying the route choice problem by modeling the strategic decisions of people --represented by the mental representations of their itineraries-- instead of the operational ones --represented by paths. We define an abstracted graph based on what we denote mental representation item (MRI) and we derive operational route choice models based on it. A GPS dataset from the city of Quebec is available and will be used for this purpose. Hence, the project is divided in two main parts; the first and technical part which involves data processing, and the second methodological part which involves the development of a model for the MRI network.

2015

Development of an aggregate route choice model for a big network, Arriagada Diego Alexandre

Supervision: Evanthia Kazagli, Matthieu de Lapparent, Michel Bierlaire
The use of random utility models for route choice analysis involves challenges stemming from the high requirements in data and data processing, the physical overlap of paths, and the large size of the choice set. These factors increase the complexity of the models significantly. In order to simplify the problem, a novel approach based on an aggregate representation of route choices has been proposed. The conventional representation and modeling approach is based on path alternatives constructed as link-by-link sequences on the network. This approach entails a very large number of possible paths connecting a given origin and destination (OD), and high correlation among the alternative paths. In this work, we claim that a path is solely the manifestation of the route choice, i.e. the way the traveler implements her decision to take a specific route, and we replace the paths with aggregate elements that we denote as Mental Representation Items (MRIs). This key feature allows us to reduce the complexity of the model and at the same time is more behaviorally realistic. The aim of this project is to extend this approach and apply it in a big network for which information about congestion is available. A GPS dataset from the city of Quebec is available and will be used for this purpose. Knowledge of statistical mathematics and familiarity with MATLAB and SQL are required. Geographic Information Systems (GIS) software will be used for completing this project.

2013-2014

Identify User’s Locations of Interest from Smartphone WiFi Data, Amélie Buisson (GC) (Civil Engineering)

Supervision: Evanthia Kazagli, Antonin Danalet, Michel Bierlaire
Smartphone is a powerful and convenient tool for collecting a variety of data (location, social interaction, and more) that can be useful for individual mobility analysis. Most of the ongoing research relies on GPS to acquire accurate location. GPS though is expensive in terms of battery consumption. In addition, the GPS sensor embedded in mobile phones fail in practice more often than dedicated GPS devices. Yet, smartphones are endowed with multiple sensors from which location can be inferred. Wifi sensors provide stable indoor location data and have been identified as a potential alter- native to indicate location that can well serve in addition and complementary to GPS data to advance mobility learning. The location extraction from Wi-fi records permits the detection of users� regular places of visit, the frequency and intensity (number of times) of visiting these places, as well as patterns such as the time of day and duration of visit. This kind of information is relevant for the identification of activity locations making use of clustering techniques, and after further analysis they can support measuring the activity space and intensity of activity participation of the user. By fusing the information about activity locations with land use and points of interest (POI) data, as well as with more data acquired from the smartphone sensors (e.g. phone status, Bluetooth, charging, phone interaction etc.), and taking into account temporal dimensions, it is then possible to infer the type of activity at these location (including home and work locations) and subsequently trip/ activity purposes can be disclosed. In addition to the above, and building on the identification of meaningful clusters, WiFi data have the potential to assist the identification of origins and destinations of trips (often missing in case of GPS). This information can then be used for improving and validating trip detection algorithms, which currently appear to be problematic and hence introduce biases in the subsequent stage of map-matching (e.g. one a known trip is segmented in several due to the limitations of the algorithm and GPS data). This project aims at exploiting the advantages of the WiFi data discussed above for individual mobility analysis.

Mode choice analysis from a large smartphone dataset, Mikael Nicolas Xavier Friederich (Civil Engineering)

Supervision: Evanthia Kazagli, Marija Nikolic
Smartphone is a powerful and convenient tool for collecting a variety of data (location, social interaction, and more) that can be useful for individual mobility analysis. One of the advantages of smartphone data is the ability to collect data over longer periods of time (panel data) without burdening the respondent. Having such resolution of information enables us to gain better insight into the general mobility style of people than it would be possible by means of traditional one- or two-day travel surveys. It becomes clear that smartphone data have great potential with respect to analysing travel- ers� profiles and disclose systematic mobility (e.g habit, morning or afternoon routines etc.) and switching behavior patterns (departure time, chosen route, mode). This project focuses on such higher-order mobility styles in order to shed light on travel behavior.

Exploration of smartphone users trip data to investigate travel behavior, Mikael Nicolas Xavier Friederich (Civil Engineering)

Supervision: Evanthia Kazagli, Marija Nikolic
Smartphone is a powerful and convenient tool for collecting a variety of data (location, social interaction, and more) that can be useful for individual mobility analysis. One of the advantages of smartphone data is the ability to collect data over longer periods of time (panel data) without burdening the respondent. Having such resolution of information enables us to gain better insight into the general mobility style of people than it would be possible by means of traditional one- or two-day travel surveys. This project aims at unveiling frequent behaviours in terms of space, i.e., the regions of space traversed during movements and understand the processes generating them. The work elaborated in the project is expected to support our effort in incorporating travelers� mental/ spatial represen- tation items (MRI) in route choice modeling. More specifically, the goal of this bigger project is to develop a modeling framework where the route choice decisions will take place in a higher/ concep- tual level. Path alternatives will be constructed as �replaced by� sequences of mental geo-marked items �akin to the concept of anchor points as elements of travelers� mental maps in cognitive science. We are interested in car route choice, hence the scope of this semester project will also focus on car trips. In this context, processing and analysing the trips of the smartphone users can reveal the most frequently traversed points or segments of the network (both in an aggregate but also in an individual level) that can signify such items in the network.

Exploring pedestrian mobility using video tracking data in Lausanne train station, Babel Hugo Louis

Supervision: Marija Nikolic, Evanthia Kazagli
Pedestrians, contrary to the other modes, do not have defined network and they do not follow strict constraints. A characteristic feature of pedestrian route choice is that routes are continuous trajectories in time and space - pedestrians choose a route from an infinite set of alternatives. As a consequence of these facts we have observed the distribution of walked distances and travel times for specific origin-destination pairs at the train station in Laussane, during the morning rush hour. The goal of this project is to analyse the distribution of walked distances and corresponding travel times and speed values based on pedestrian trajectories collected at the train station in Lausanne. Here we would like to answer the questions such as: 1) Is the motion of pedestrians random or does it follow a specific pattern? How can we characterize it? 2) What is the impact of congestion on the mentioned observables? 3) Do familiarity with the place, the attractiveness of shops and signs found along the corridors affect pedestrian motion behaviour and how? What are the other factors that cause deviations from a straight line motion? Programming skills and knowledge of statistical mathematics are required.

2012-2013

Mobility learning from smartphone WIFI data, Amélie Buisson (Civil Engineering)

Supervision: Jingmin Chen, Evanthia Kazagli, Marija Nikolic
Smartphone is a powerful and convenient platform for collecting location data for mobility behavior research. Most of the research relies on GPS to get accurate location, or GSM to get massively available but imprecise location. This project investigates the feasibility of using WIFI data for mobility behavior research. The dataset is collected from 200 smartphones over 2 years. The data collection application (EPFLScope) records all nearby WIFI access points (AP) every 3-5 minutes. Some of the WIFI access points are associated with location information. Therefore, it is possible to identify the location of the smartphone according to the nearby WIFI AP. With this location information, we can further understand spatial and temporal mobility patterns.

2013

Enhancement of Naville's Press Delivery Regulation Tool: An Exploratory Analysis, Lea Kissling (Mathematics)

Supervision: Evanthia Kazagli, Amanda Stathopoulos
The aim of this project is to explore data driven complementary strategies to the existing allocation strategy of Naville, in order to provide guidance for potential improvements of the existing allocation tool of the company. In this project the student will investigate the potential benefits of including a wider set of data in order to identify press demand patterns over time. Accounting for consumer profiles, detailed sale points data, geographical area, external events, etc., will enable a more accurate understanding and anticipation of demand fluctuations. Drawing from the results of this analysis we will provide recommendations for improvements of the existing tool used by Naville. The proposed exploratory project can form the basis for a further work on the challenging theme of modeling and predicting demand and optimizing distribution strategies in the context of declining and uncertain evolution of the press market.