Know more

About cookies

What is a "cookie"?

A "cookie" is a piece of information, usually small and identified by a name, which may be sent to your browser by a website you are visiting. Your web browser will store it for a period of time, and send it back to the web server each time you log on again.

Different types of cookies are placed on the sites:

  • Cookies strictly necessary for the proper functioning of the site
  • Cookies deposited by third party sites to improve the interactivity of the site, to collect statistics

Learn more about cookies and how they work

The different types of cookies used on this site

Cookies strictly necessary for the site to function

These cookies allow the main services of the site to function optimally. You can technically block them using your browser settings but your experience on the site may be degraded.

Furthermore, you have the possibility of opposing the use of audience measurement tracers strictly necessary for the functioning and current administration of the website in the cookie management window accessible via the link located in the footer of the site.

Technical cookies

Name of the cookie


Shelf life

CAS and PHP session cookies

Login credentials, session security



Saving your cookie consent choices

12 months

Audience measurement cookies (AT Internet)

Name of the cookie


Shelf life


Trace the visitor's route in order to establish visit statistics.

13 months


Store the anonymous ID of the visitor who starts the first time he visits the site

13 months


Identify the numbers (unique identifiers of a site) seen by the visitor and store the visitor's identifiers.

13 months

About the AT Internet audience measurement tool :

AT Internet's audience measurement tool Analytics is deployed on this site in order to obtain information on visitors' navigation and to improve its use.

The French data protection authority (CNIL) has granted an exemption to AT Internet's Web Analytics cookie. This tool is thus exempt from the collection of the Internet user's consent with regard to the deposit of analytics cookies. However, you can refuse the deposit of these cookies via the cookie management panel.

Good to know:

  • The data collected are not cross-checked with other processing operations
  • The deposited cookie is only used to produce anonymous statistics
  • The cookie does not allow the user's navigation on other sites to be tracked.

Third party cookies to improve the interactivity of the site

This site relies on certain services provided by third parties which allow :

  • to offer interactive content;
  • improve usability and facilitate the sharing of content on social networks;
  • view videos and animated presentations directly on our website;
  • protect form entries from robots;
  • monitor the performance of the site.

These third parties will collect and use your browsing data for their own purposes.

How to accept or reject cookies

When you start browsing an eZpublish site, the appearance of the "cookies" banner allows you to accept or refuse all the cookies we use. This banner will be displayed as long as you have not made a choice, even if you are browsing on another page of the site.

You can change your choices at any time by clicking on the "Cookie Management" link.

You can manage these cookies in your browser. Here are the procedures to follow: Firefox; Chrome; Explorer; Safari; Opera

For more information about the cookies we use, you can contact INRAE's Data Protection Officer by email at or by post at :


24, chemin de Borde Rouge -Auzeville - CS52627 31326 Castanet Tolosan cedex - France

Last update: May 2021

Menu Logo Principal

Home page

The SwiTCh Team

A multidisciplinary team of researchers to improve urban mobility


The consortium is composed of 5 research laboratories from different domains (engineering, geography-urban planning, computer science, etc.) :

RECOVER/IRSTEA: The RECOVER team gathers researchers with multidisciplinary skills in environmental sciences, engineering, ecology and decision support systems, to study the interactions between natural and manmade systems for risk management. The team aims at developing knowledge, methods, tools and information systems to analyse risks and vulnerabilities in order to create an integrated management system for hydraulic works, territories and their ecosystems. The involved researchers have a strong expertise in decision-making for infrastructure management in uncertain contexts.

I2M/GCE: The Civil and Environmental Engineering Department (GCE) of the Institute of Mechanics and Engineering Bordeaux (I2M) deals with various issues related to the field of Civil Engineering. It develops research on engineering respecting two key elements: (a) a very strong interdisciplinarity, combining various approaches (physical modelling and decision support) and dealing with problems on a wide variety of scales; (b) the constant concern to build a continuous and balanced chain, from the knowledge and the modelling of the phenomena/mechanisms involved upstream to pre-operational conclusions, which can be seized by users (industrialists, engineering offices, real property managers, etc.). The GCE team participation in numerous national and international projects demonstrates its deep involvement in the civil engineering field.

LIG/HAwAI: The LIG-HAwAI team (Human Aware Artificial Intelligence) is focused on creating socially relevant multi-agent systems that solve real-world problems and enrich society. HAwAI was previously known as MAGMA, one of the oldest multi-agent systems teams in France. HAwAI is part of the 23 teams that make up the Grenoble Informatics Laboratory (LIG), one of the largest computer science research laboratories in France. The HAwAI team extends the notion of an agent-based society away from a collection of purely computational entities, to one that is composed of different types of agents, both human and artificial, interacting in mutually beneficial ways. In particular, the team is focused on modelling social interactions and simulating human behaviours. Through agent based simulation the team has previously looked at analysing human mobility and crowd movements in earthquakes (ANR-LIBRIS, VUSIM AMD, ARC7 MIMICS, IXXI MUDAMO), in floods (CNRS MAGIL, IDEX CDP RISK), and in bushfires (AGIR-SWIFT), with a focus on human factors such as emotions, cognitive biases or social attachment.

IRIT/SMAC: The Cooperative Multi-Agent Systems (SMAC) team of the Institute of Research in Computer Science of Toulouse (IRIT) is one of the most important teams in Europe working on Multi-Agent Systems (MAS), with applications in industry as well as research projects ranging from optimization to user profiling, including agent-based social simulation (ABSS). In particular, the researchers involved in the SwITCh project have a strong experience in ABSS in a multidisciplinary context. They are involved in several important research projects and teaching on the subject. They work on elaborated architectures for the design of realistic behaviours (ANR-ACTEUR), on the generation of synthetic populations (ANR-Genstar) as well as on the modelling and analysis of networks dynamics using Time-Varying Graphs and MAS.

ThéMA/MCT: The ThéMA/MCT team endeavours to understand the spatial dynamics and structural links between accessibility, mobility and distribution of activities. The SwITCh project could benefit from their previous results and methodology of two projects. The first one concerns the Miro platform, which combines activity theory with an agent based model. The second one concerns the Mobisim Project. This Land Use Transport Integrated Platform simulates and analyses geographical daily and residential mobility dynamics. It supports decision-making for sustainable planning of French and European cities.



Franck Sfiligoï Taillandier (Project coordinator) : Reasearcher HDR in Decision aiding

Corinne Curt : Reasearcher Engineer HDR in Decision aiding

Pascal Di Maiolo : Engineer in Risk Management

Pénélope Brueder : Intern in Environmental Social Psychology


Cédric Baudrit : Reasearcher HDR in Knowledge management

Sidi Mohammed Elachachi : Professor in Civil engineerinf

Christophe Fernandez : Computer scientist

Colin Lashermes : Intern in Cognitive science


Carole Adam : Assistant professor in Artificial Intelligence

Julie Dugdale : Assistant professor HDR in Artificial Intelligence

Alice Jacquier : Intern in Computer science


Thomas Thévenin : Professor in geography

Jean-Philippe Antoni: Professor in geography

Marion Lamiral : PhD in geography


Frédéric Amblard : Professor in Artificial Intelligence

Benoit Gaudou : Assistant professor HDR in Artificial Intelligence

Nicolas Verstaevel : Assistant professor in Artificial Intelligence

Elsy Kaddoum : Assistant professor in Artificial Intelligence

Damien Vergnet : PhD Student in Artificial Intelligence

Invités exceptionnels :

Patrick Taillandier : Resaercher HDR in Artificial Intelligence

Nicolas Marilleau : Resaercher HDR in Artificial Intelligence