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THE BIG PICTURE

OUR research FOCUSES on Energy use and 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 A sustainable mobility.

The Energy and Mobility Laboratory (EMob-Lab) 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).

EMob-Lab 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.

EMob-Lab is extensively collaboration with Laboratory Ampère on activities related to energy management and storage for transport.

EMob-Lab’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 and electric vehicles modelling, mobility management and energy use simulations,
data-driven mobility analysis, optimal transport and vehicles design
and solutions for sustainable mobility.

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 several testing facilities composed of an experimental platform dedicated to batteries BALADE, multiple electric vehicles and chargers. Drones are also used to monitor traffic in an urban context.

PLATFORMS

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

Multiple open-source platforms are currently developed at EMob-Lab 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

PERMANENT STAFF

Ludovic LECLERCQ

Director of
EMob-Lab,
Director of Research, HDR, Professor

Christine BUISSON

Director of Research, HDR, Professor

Nour-Eddin EL FAOUZI

Director of Research, HDR, Professor

Rochdi TRIGUI

Director of Research, HDR

Emmanuel VINOT

Researcher, HDR

Angelo FURNO

Director of Research, HDR, Professor

Pierre-Antoine LAHAROTTE

Researcher, Associate Professor