European projects

Objectives:

BERTHA is a European project that brings together 14 research centres, leading universities and innovative companies from 6 different countries to develop a driver behaviour model (DBM) that can be used in connected autonomous vehicles to make them safer and more human-like.

Over 3 years and with more than €7.9 million in funding from the European Union, the Horizon Europe project will develop an evolutionary and probabilistic driver behaviour model (DBM), based primarily on the Bayesian belief network. Following a human-in-the-loop approach, this model will be essential for achieving more human-like autonomous vehicles, thereby increasing road safety.

The resulting DBM will be implemented on an open-source HUB, a repository that will enable industrial validation of its technological and practical feasibility, and will become a unique approach for scalability of the model on a global scale.

Coordination: IBV (Spain)

Partners: Instituto de Biomecánica de Valencia, Institut VEDECOM, University Gustave Eiffel, German Research Centre for Artificial Intelligence, Computer Vision Center, Capgemini Engineering, VORTEX-CoLab, Continental Engineering, Fundación CIDAUT, Austrian Institute of Technology, Universitat de València, Europcar Mobility Group, FI Group

Dates: 01/11/2023 - 31/10/2026

Project funder: CEE

Laboratory involvement:

• Cognitive modelling of the car driver
• Simulation of decision-making and risk assessment in driving situations
• Development of a driver model in the platform (CARLA)

People involved in LESCOT: Thierry BELLET, Jean-Charles BORNARD, Bertrand RICHARD

Objectives:

The ADAS&ME project (Adaptive ADAS to support incapacitated drivers & Mitigate Effectively risks through tailor made HMI under automation - www.adasandme.com) focuses on the design and development of advanced ADAS systems (based, where appropriate, on partial or total automation of driving) for 4 different types of vehicle: cars, lorries, buses and motorbikes. The challenge is to design real-time driver monitoring functions (some of which are common and cross-cutting), whether to assess the driver's physiological state (e.g. fatigue, or 'heat stroke' for motorcyclists), distraction (visual and cognitive), stress level, or emotional feelings (anxiety, joy, anger or fear).

Coordination: VTI (Sweden), CERTH (Greece)

Partners: IFSTTAR/TS2/LESCOT, SCANIA, FORD, DUCATI, VALEO, TomTom, DENSO AUTOMOTIVE, DLR, NUI Galway, DAINESE, Continental, EPFL, Universities of Stockholm, Rome, Chemnitz, Magdeburg, Patras, Uppsala, Autoliv, FhG/IAO, RWTH, Smart Eye, Idiada, FORTH, VEDECOM, HUMANIST. Osborne Clarke, ACASA

Dates: 01/09/2016 - 01/03/2020

Project funder: H2020 (Europe)

Laboratory involvement:

As part of this project, LESCOT is more specifically involved in two complementary activities:

• Participation in the survey to assess acceptability and user needs: design, dissemination and processing of the French part in the context of the European cross-cultural approach led by the project. Specification of HMI for the UseCase G scenario "Passenger pick up/drop off automation for buses" and drafting of ergonomic recommendations for this scenario. Participation in the definition of mental load evaluation methodologies (DALI Driving Activity Load Index and RALI Riding Activity Load Index) for the evaluation of the assistance systems developed during the project.
• Management of activity 7.2 of the project, devoted to the implementation of 'Pre-Pilot Studies' aimed at collecting empirical data for the development of monitoring functions (10 PPS carried out by the partners during the project). At this level, LESCOT was also involved in one of these PPS, carried out by Védécom and Valéo, and devoted to the analysis of 'Range Anxiety' in the context of driving an electric vehicle (i.e. anxiety generated by the low level of energy available in the batteries).

People involved in LESCOT: Thierry Bellet, Annie Pauzié, Audrey Charnoz (CDD)

Link: www.adasandme.com/

References:

• Touliou K., Maglavera M., Britsas C., Ecabert C., Pauzie A., Willstrand T., Ahlström C., Zanovello L., Brasca M., Krupenia S., Perteira Cochron M., Georgoulas G., Wendemuth A., Valejo A.. State of the Art and Benchmarking, Deliverable 1.1, ADAS&ME project, 187 p., February 2017.

• Dukic Willstrand T., Anund A., Strand N.(VTI) Nikolaou S., Touliou K., Gemou M., Fabian Faller F., Pauzié A., Zanovello L., Zimmermann M., Pereira Cocron, M., Strand N., Maroudis P., Troberg S., Krupenia S., Griesche S. Driver/Rider models, Use Cases and implementation scenarios, Deliverable 1.2, ADAS&ME project, 175 p., May 2017.

• Ferhat L. & Pauzié A., Passengers pick-up/drop-off automation for buses (Use case G), Framework for driver-vehicle interaction strategies:, WP5, A5.1, ADAS&ME project, 15 p., February 2017.

• Ferhat L. & Pauzié A., Propositions of HMI elements for automated buses (Use case G), Framework for driver-vehicle interaction strategies, WP5, A5.1, ADAS&ME project, 17 p., February 2017.

Objectives:

The main goal of the ENSEMBLE project is to pave the way for the adoption of multi-brand truck platooning in Europe to improve fuel economy, traffic safety and throughput.

Coordination: Marika Hoedemaker (TNO, Netherlands)

Partners: DAF truck (Netherlands) ; DAIMLER AG (Germany) ; IVECO (Italy) ; MAN Truck & Bus AG (Germany) ; SCANIA CV AB ( Sweden) ; VOLVO (Sweden) ; CLEPA (Belgium) ; ERTICO (Belgium) ; IDADA (Spain) ; NXP Semiconductors (Netherlands) ; WABCO GmbH (Germany) ; ZF Friedrichshaffen AG (Germany) ; Kungliga Tekniska högskolan (Sweden) ; Vrije Universiteit Brussel (Belgium) ; Daimler Fleetboard GmbH (Germany)

Associated partners (IFSTTAR): SCHMIDT Franziska (MAST-EMGCU) ; JACOB Bernard (DS) ; COMBES François (AME-SPLOTT) ; HAMMOUM Ferhat (MAST-MIT) ; CARO Stéphane (COSYS-LEPSIS) ; ARBEIT DE CHALENDAR Odile (DAEI) ; DURET Aurelien (COSYS-LICIT) ; EL FAOUZI Nour-Eddin (COSYS-LICIT) ; DUMONT Eric (COSYS-LEPSIS) ; BLANC Juliette (MAST-LAMES) ; HORNYCH Pierre (MAST-LAMES) ; ADELAIDE Lucas () ; (AST-EMGCU) ; MUNDUTEGUY Christophe (AME-SPLOTT)

Dates: 01/06/2018 - 30/11/2021

Project funder: European project H2020-ART-2016-2017/H2020-ART-2017-Two-Stages - GA No. 769115

Laboratory involvement:

• WP4 Leader
• State of the art
• Methodological implementation
• Data acquisition, analysis and processing
• Valorisation

People involved in LESCOT: Christophe Jallais, Hélène Tattegrain, Fabien Moreau

Objectives:

The aim of the ESRA project is to carry out surveys - inspired by the SARTRE surveys - of road users in different countries over a three-year period, on their attitudes, representations and behaviour on the road. The ESRA surveys have three objectives:

• To obtain, for all countries concerned, national information on opinions, reported behaviour and attitudes towards road safety and related transport problems.
• To obtain comparable information on road safety in the countries concerned to enable reliable international comparisons.
• To provide decision-makers in participating countries with data to support the formulation of policy measures.

Coordination: VIAS (Belgium)

Partners: The 2015 survey included 38 countries. To date, data for the 2019 survey has been collected in 32 countries on 5 continents.

Dates: 15/03/2018 - 14/03/2021

Project funder: DSR for the French part

Laboratory involvement: Member of the core group. Representative for France. Involved in the data quality procedure, dissemination of results, data analysis, particularly on gender, pedestrian and young driver aspects. Responsible for organising the project's final event in 2020.

People involved in LESCOT: Marie-Axelle Granié, Myriam Evennou

Link: www.esranet.eu

Objectives:

SIMUSAFE aims to improve driving simulator and traffic simulation technology to safely assess risk perception and decision making of road users:

• Pedestrians
• Cyclists
• Motorcyclists and powered two wheelers
• Vehicle drivers

Currently, driving simulators and traffic simulation models have limited use in safety studies due to the limited realism of road users’ behaviours in models. Using a three-phase research cycle,SIMUSAFE will bridge this gap by collecting and integrating sources of road user behaviour to build more realistic simulation environments.

Coordination: ICTL (Spain)

Partners: 16 European partners

Dates: 01/06/2017 - 31/05/2021

Project funder: H2020 (Europe)

Laboratory involvement:

• Coordination,
• Experimental design,
• Handover,
• Analysis,
• Valuation

People involved in LESCOT: Alexandra Fort, Christophe Jallais

Link: simusafe.eu

Objectives:

The aim of the SUaaVE (SUpporting acceptance of automated VEhicle) project is to promote the acceptability (before use) and acceptance (after use) of autonomous vehicles, both for users and society as a whole. To this end, the challenge of this project will be to design and evaluate, in an immersive simulation environment, an "empathetic" or "friendly" Automated Vehicle (AV) demonstrator, i.e. one that cares about and respects the user, whether on board the vehicle (driver/passenger) or in the road environment (for example, a pedestrian interacting with the autonomous vehicle).

Coordination: IBV / University of Valencia (Spain)

Partners: IFSTTAR/TS2/LESCOT, University of Groningen, University of Munich, University of Bordeaux (IPB/ENSC), IDIADA, CRF, ESI Group/CIVITEC, FICOSA, Vedecom

Dates: 01/05/2019 - 30/04/2022

Project funder: H2020 (Europe)

Laboratory involvement:

As part of this project, LESCOT is more specifically involved in three complementary activities:

• As part of Work Package 5 (for which LESCOT is the leader), the laboratory is in charge of the design and development, in partnership with ESI Group / CIVITEC, of an immersive simulation platform (cf. adapted from the V-HCD) enabling future users to "practically" experiment with different types of future Automated Vehicles (more "traditional" AV at the start of the project, then more "empathetic" AV as the consortium's work progresses). Different versions of this immersive platform will be produced (on fixed-base or dynamic-base simulators, or via the use of virtual reality headsets), to enable all the teams involved in the consortium to carry out experiments during the project on their own simulators (with a view to assessing the acceptance of AVs by future users). This platform will also be used to support the "human-centred design" (Virtual Human Centred Design - see "V-HCD") approach for future "empathic" VAs and their HMIs. It will also be the project's main "demonstrator" for the human-centred virtual design of future VAs.
• On another level, LESCOT is also involved in setting up a large-scale online survey (3,000 participants for the consortium as a whole, including 650 in France) on the acceptability of AVs and the expectations of future users of these new-generation vehicles.
• Finally, by setting up an experiment on the V-HCD platform, LESCOT will also be looking at the interactions between VAs and vulnerable road users in wheelchairs, using, where appropriate, a co-simulation approach (i.e. several participants interacting together in the same driving scenario).

People involved in LESCOT: Thierry Bellet, Marie-Pierre Bruyas, Maud Ranchet, Bertrand Richard

Objectives:

The Franco-German U-THREAT project aims to improve the resilience of underground transport systems by providing operators with the knowledge and tools they need to anticipate the consequences of events that have an impact on the safety of the system, based on three inputs: operations, structures and users.

Coordination: STUVA for the German part and CETU for the French part

Partners: STUVA - Studiengesellschaft für Tunnel und Verkehrsanlagen e. V. (DE), CETU - Centre d'Études des Tunnels (FR), RUB - Ruhr-Universität Bochum (DE), IFSTTAR - Institut Français des Sciences et Technologies des Transports de l'Aménagement et des Réseaux (FR), PTV Planung Transport Verkehr AG (DE), ARCADIS France (FR), INIT innovation in traffic systems GmbH (DE), KEOLIS (FR)

Associated partners: HAMBURGER HOCHBAHN WACHE (DE), SYTRAL (FR), STRMTG (FR), Verband Deutscher Verkehrsunternehmen e. V. (DE)

Dates : 01/12/2016 - 30/11/2020

Project funder: Funding under the Franco-German call Future Security in Urban Areas): ANR for the French part, BMBF (German Federal Ministry of Education and Research) for the German part

Laboratory involvement: Lescot is in charge of user issues, with a focus on communication.

People involved in LESCOT: Annie Pauzié, Aline Alauzet

Objectives:

The VI-DAS (Vision Inspired Driving Assistance Systems) project aims to specify, design, develop and then evaluate on-board monitoring functions capable of jointly supervising (1) the external driving situation (i.e. 360° vision) and (2) the state of the driver in the passenger compartment (fatigue, visual and cognitive distraction, emotions and risky behaviour). On the basis of these "720° supervision" diagnoses, the challenge is then to manage human-machine interactions accordingly (dissemination of information and alarms), as well as the transition procedures between the human driver and the automaton for taking control of the vehicle.

Coordination: Vicomtech (Spain)

Partners: IFSTTAR (LESCOT et LMA), Honda, IBM, INTEL, TomTom, VALEO, CEA, Université de Dublin, Université d’Eindhoven, Université de Limerick, Karlsruhe Institute of Technology, INTEMPORA, TASS/SIEMENS, Akiani, XL Group

Dates: 01/09/2016 - 02/04/2020

Project funder: H2020 (Europe)

Laboratory involvement:

As part of this project, LESCOT is more specifically involved in 4 main activities:

• Specification of driving assistance functions based on detailed analysis of driving behaviour and/or difficulties encountered at the wheel (LESCOT instrumented vehicle) by a panel of 100 'vulnerable' drivers (mainly drivers aged over 70 and young novice drivers). These analyses were consolidated with the LMA, using real accident cases extracted from the EDA (Detailed Accident Studies) database
• The design and development of on-board monitoring algorithms aimed at assessing the "appropriateness of the driving behaviour" engaged in by the driver, with regard to the criticality of the situation (risk of collision, for example)
• The design and evaluation of advanced Human-Computer Interaction methods (in collaboration with Akiani and the CEA) to enable, on the one hand, good cooperation between the human and the assistance devices and, on the other hand, delegation of driving to a fully automated driving system
• The development, on a simulator, of an automated driving system demonstrator, in order to evaluate the HMIs and gather User Experiences (i.e. UX methods)

People involved in LESCOT: Thierry Bellet, Joshua Quick (apprentice), Marie Petiot (CDD), Audrey Charnoz (CDD), Evan Gallouin (CDD)

Link: vi-das.eu