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Institut Français des Sciences et Technologies des Transports, de l’Aménagement et des Réseaux (IFSTTAR)

Role in the project

IFSTTAR will participate actively in the definition of use cases and basically in all the tasks related with the development of an advanced driving simulator that can include the new functionalities of CAV.

Their main tasks are distributed as follow:

  • Contribute to Use cases definition + to the On-line survey on CAV/ALFRED Acceptability/Acceptance

  • Support WP3 efforts integration in / interfacing with  the V-HCD platform

  • Leader of WP5 + development of / and with the V-HCD of CAV/ALFRED to support immersive experiments in the project  and the to provide a SUAAVE final demonstrator

  • Implement and immersive experiment on IFSTTAR driving simulator + V-HCD, focused on CAV/ALFRED versus Pedestrian interactions

  • Support ESI in the Exploitation plan related to V-HCD, and contribute to Dissemination

Partner description

The “French institute of science and technology for transport, development and networks” (IFSTTAR) is a public Research Institute, born on January 1st 2011, under the joint supervision of the ministry of ecology, sustainable development and energy and the ministry of higher education and research. IFSTTAR is a major player in the European research on cities and territories, transportation and civil engineering. IFSTTAR gathers more than 1,000 employees. The IFSTTAR team involved in this proposal is LESCOT. The LESCOT is the Laboratory of Ergonomics and Cognitive Sciences applied to Transport, working in the area of human driver modelling and human centred design of advanced driving aids and vehicle automation. Main background covered are knowledge about drivers (integrating different populations, like older, novice, or motorcyclists drivers) and their driving abilities (cognitive and behavioural), from naturalistic observations and analysis of their driving activity on instrumented cars to controlled experiment on driving simulator. In the frame of the COSMODRIVE program, these empirical data are used for modelling and simulate cognitive processes and their dysfunctions (like cognitive overload, distraction risks, and erroneous situation awareness). This knowledge is also used for the ergonomics design and evaluation of ADAS as well as vehicle automation. To support this Human Centred Design methods, LESCOT have developed a tool chain for driving activity analysis and modelling and then, for the virtual simulation of human drivers interactions with ADAS and/or with automated vehicles.