Home - LICIT-ECO7

THE BIG PICTURE

OUR research FOCUSES on HUMAN mobility ANALYSIS, MODELLING, CONTROL, AND SIMULATION TO IMPROVE URBAN TRANSPORT IN TERMS OF PERFORMANCE, RESILIENCE AND SUSTAINABILITY.

We OPtimiSe THE energy SYSTEMS FROM THE VEHICLE To THE transport SYSTEM AS A WHOLE in the aim of AN ENVIRONMENTALLY FRIENDLY mobility.

The Transport and Traffic Engineering Laboratory (LICIT-ECO7) is a Joint Research Unit which is placed under the supervision of University Gustave Eiffel and ENTPE (Post-graduate School of Transport and Civil Engineering).

LICIT-ECO7 is also part of the University de Lyon and Lyon Urban School.

The laboratory is located on both the ENTPE Campus and the University Gustave Eiffel Bron Campus in Lyon.

LICIT-ECO7 is part of the JRT GEST (Joint Research Team on Energy Management and Storage for Transport).

LICIT-ECO7’s main research theme is the Dynamic Modelling, Monitoring and Control of Mobility Networks as well as New Vehicles and New Components Usage, Ageing and Control.

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OUR RESEARCH THEMES

A few things we’re great at

The research activities performed in our laboratory cover a large spectrum of subjects related to traffic modelling, simulation, data-driven mobility analysis, optimal transport design
and novel solutions for sustainable transport.

TRAFFIC MODELLING, SIMULATION AND CONTROL

We develop simulation models and tools based on physics and traffic theory. Simulation tools are used to test new mobility services and control strategies.

We design traffic models describing the evolution of mobility flows, including the different modes of transport into the core of our solutions. We also focus on the characterisation of the effects deriving from the introduction into transport networks of new shared mobility services (car-sharing, ride-sharing, etc.), connected and autonomous vehicles.

DATA-DRIVEN MOBILITY ANALYSIS AND PREDICTION

We leverage multi-source data to build intelligent transport systems and understand human mobility at different spatio-temporal scales.

We develop original solutions based on artificial intelligence, data mining and data assimilation techniques to understand how people move within a city and to implement smart solutions to improve the transport system. We focus on the usage of large-scale data, such as call detail records, mobile network probe data, drone images, GPS data.

OPTIMAL AND RESILIENT TRANSPORT OFFER DESIGN

We explore complex networks theory and operations research approaches towards the design of an optimal multi-modal sustainable transport offer.

We do research concerning the optimal organization of the transport offer via economic, resilience and environmental efficiency criteria, focusing on both densely and sparsely populated areas. We explore strategies to enforce the complementarity between public transport and on-demand mobility, as well as the achievement of the overall optimum of the system.

ENERGY MANAGEMENT AND DESIGN OPTIMISATION OF VEHICLE POWERTRAINS

We develop vehicle models and algorithms to optimise the control, the sizing of components, and the architecture of innovative vehicles. The objectives considered are the energy criterion, pollutant emissions and aging of critical components.

Components models are developed and validated in the testing facilities and included in our VEHLIB software libraries. Different innovative vehicle powertrains (electric, hybrid, Fuel cell, etc.) are modeled. Dynamic Programing and Genetic Algorithms are used to optimise these vehicles. The optimisation can be on one level (the control), or bi-level (design and control). Multiple optimisation objectives are considered (energy consumption, pollutant emissions, ageing). Research in this area also includes the development and evaluation of safe and effective support systems for users (eco-driving, route selection, etc.).

BEHAVIOR AND AGEING OF BATTERIES UNDER REAL-WORLD USAGE CONDITIONS

The research in the field of energy storage covers the characterisation and modelling of batteries, their usage, and their ageing. Battery usage in transport applications vary greatly according to the type of vehicle, road, driver, and climate.

The first step is to understand how the batteries are used and characterize the subsequent applied stresses (thermal, electrical, etc). This is achieved by collecting databases containing data from instrumented vehicles. We have also developed test protocols and data-mining tools that enable us to characterize and model batteries. The second step is to define ageing laws coupling the 2 modes of degradation (calendar and cycling) and to include them in optimisation tools of transport systems.

FUEL CELL SYSTEMS AND HYDROGEN TECHNOLOGIES

The activities focus on the characterisation, diagnosis and integration of fuel cell generators and hydrogen technologies for mobile or stationary systems.

Experimentation and modelling actions are carried out for the development of these technologies, in particular to better understand degradation phenomena and integration constraints, through dedicated research projects, or through study services.

OUR RESEARCH APPROACHES

Data-DRIVEN, multi-Physics AND EXPERIMENTAL APPROACHES
To MODEL, ANALYZE, simulate, predict and control
THE TRANSPORT SYSTEM

DATA-DRIVEN APPROACH

THE POTENTIAL OF BIG DATA AND ARTIFICIAL INTELLIGENCE

We use multi-source data to understand human mobility demand, travel patterns and motifs. We develop platforms based on data analysis and machine learning to support traffic monitoring, vulnerability assessment and resilience improvement.

multi-physics approach

The power of MULTI-physics for traffic Modelling AND CONTROL

We develop multi-scale traffic models, simulation tools and control strategies for the understanding and managing of multi-modal transport, by integrating a variety of mathematical approaches .

EXPERIMENTS

Experiments are at the core of OUR research activities.

The experimental work is based on a testing platform composed of an engine test bench and a battery test facility . Fuel cell test equipments are studied in collaboration with the FCLAB federation in Belfort. On-board measurements and hardware in the loop experiments are extensively done during our research programs.

PLATFORMS

OPEN-SOURCE PLATFORMS ARE DEVELOPED TO UNDERSTAND AND ANALYZE COMPLEX SYSTEMS

Multiple open-source platforms are currently developed at LICIT-ECO7 to study complex systems from the dimension of the vehicle ( VEHLIB) to that of a whole city ( PROMENADE), as well as to perform traffic simulation ( SYMUVIA) and multi-modal travel planning ( TEMPUS).

Our RESEARCH TEAM

GREAT PEOPLE FOR A GREAT WORK

LICIT-ECO7 is a team of wonderful people…

PERMANENT STAFF

Ludovic LECLERCQ

Director of
LICIT-ECO7,
Director of Research, HDR, Professor

Serge PELISSIER

Deputy director of LICIT-ECO7,
Director of Research, HDR

Christine BUISSON

Director of Research, HDR, Professor

Nour-Eddin EL FAOUZI

Director of Research, HDR, Professor

Rochdi TRIGUI

Director of Research, HDR

Samuel SELLAM

Emeritus,
Director of Research

Emmanuel VINOT

Researcher, HDR

Angelo FURNO

Researcher, Associate Professor

Bilal KABALAN

Researcher

Pierre-Antoine LAHAROTTE

Researcher, Associate Professor

Delphine LEJRI

Researcher,
Associate Professor

Didier PILLOT

Researcher

Cecile BECARIE

Research
Engineer

Fabien HAREL

Research
Engineer

Bruno JEANNERET

Research
Engineer

Colette MINTSA-EYA

Engineer

Eduardo REDONDO-IGLESIAS

Research
Engineer

Sylvain GILLET

Engineer
Assistant

Sonia CENILLE

Secretary

Anne-Christine DEMANNY

Secretary

POSTDOCTORAL STUDENTS AND RESEARCH ENGINEER

Kinjal BHATTACHARYYA

Postdoc

Loïc BONNETAIN

Postdoc

Florian GACON

Postdoc

Matthieu GUILLOT

Postdoc

Mina KHALESIAN

Postdoc

Driss LARAQUI

Postdoc

Antoine LEISIEUR

Postdoc

Pierre LEMAIRE

Postdoc

Mohammed Amine MERZOUG

Postdoc

Manon SEPPECHER

Postdoc

Bastien COLETTE

Research Engineer

Sarah TULLIEZ

Research Engineer

PhD students

Ali ABBAS

PhD Student

Louis BALZER

PhD Student

Ali Shatari BENAM

PhD Student

Mathis BOUKHELLOUF

PhD Student

Hugues BLACHE

PhD Student

Mélanie CORTINA

PhD Student

Cecile DANIEL

PhD Student

Elèonore FAUCHET

PhD Student

Carlos Mario GOMEZ PATINO

PhD Student

Marwan HASSINI

PhD Student

Maryia HRYHORYEVA

PhD Student

Alexandre JAYOL

PhD Student

Tejas-dilipsing PATIL

PhD Student

Anna TAKAYASU

PhD Student

Jiajie YU

PhD Student

Affiliated Phd Students

Mohamed Lamine BENZAGOUTA

PhD Student

LICIT-ECO7 & ERENA

Jeremy LEROY

PhD Student

LICIT-ECO7 & PICS-L

Lucas MAGNANA

PhD Student

LICIT-ECO7 &CITI lab

Benoit MATET

PhD Student

LICIT-ECO7 & GRETTIA

Oumaima MECHICHI

PhD Student

LICIT-ECO7 &
Univ. de Carthage

Niloofar SHAKOORI

PhD Student

LICIT-ECO7 &
IFPEN

TEACHING ACTIVITY

BESIDES RESEARCH

LICIT-ECO7’s teaching activities take place at the National School of State Public Works ( ENTPE),
Ecole Centrale de Lyon, INSA-Lyon and other higher-education institutions.

LICIT-ECO7 coordinates a part of the teaching activities of the Transport & Mobility program
– Voie d’approfondissement Mobilité et Transports –
at the Department of Transportation of ENTPE

LICIT-ECO7’s teaching activities focus on
Research approaches for Transport & Vehicular Engineering,
Traffic Modelling and Intelligent Transport Systems
Scientific disciplines related to Data Science, Operational Research,
Computer Science and Electrical Engineering.

TRAFFIC THEORY

ELECTRIFIED VEHICLES AND THEIR COMPONENTS

Intelligent Transportation systems

Data Science and Machine learning

Traffic study with dynamic simulation

Traffic Modelling and USages

Regulation and exploitation of transport

multi-physics coupling

BATTERIES USAGE AND AGEING

our pride

Research projects AND PLATFORMS

LICIT-ECO7 is involved in many international, European, national and regional research projects.
LICIT-ECO7 has also developed several platforms to support for
traffic simulation and intelligent transportation systems.