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.
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.
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,
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
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.
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 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.
OPEN-SOURCE PLATFORMS ARE DEVELOPED TO UNDERSTAND AND ANALYZE COMPLEX SYSTEMS
Our RESEARCH TEAM
GREAT PEOPLE FOR A GREAT WORK
LICIT-ECO7 is a team of wonderful people…
Director of Research, HDR, Professor
POSTDOCTORAL STUDENTS AND RESEARCH ENGINEER
Ali SHATERI BENAM
Affiliated Phd Students
Mohamed Lamine BENZAGOUTA
LICIT-ECO7 & ERENA
LICIT-ECO7 & PICS-L
LICIT-ECO7 &CITI lab
LICIT-ECO7 & GRETTIA
Univ. de Carthage
That’s US, All TOgether… Enjoying A NICE SUNNY DAY OF WORK!
LICIT-ECO7’s teaching activities take place at the National School of State Public Works (
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.
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
BATTERIES USAGE AND AGEING
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.
YOU WANT TO COLLABORATE WITH US?
Location 1: Université Gustave Eiffel, Campus Lyon
25, avenue François Mitterrand, Case24 Cité des Mobilités
F- 69675 Bron Cedex
Location 2: Ecole Nationale des Travaux Publics de l’Etat (ENTPE)
3 Rue Maurice Audin,
69518 Vaulx-en-Velin CEDEX
anne-christine [dot ]demanny [at] univ-eiffel [dot] fr
+33 (0)4 72 14 24 70
+33 (0)4 72 04 77 10