The theme Decision and information fusion (DFI) deals with problems of decision-making in an uncertain environment. The Bayesian model using additive probability measures is largely dominant.Over the past forty years, two other models have emerged: one is based on the possibility theory and the other on belief functions. Both models use non-additive measures. Within the laboratory, members are specialized in belief functions. Research is both theoretical and practical. In order to use these skills to the best, and to develop as much as possible, applications are varied and not restricted to a specific domain.
The skills of the members deal with all aspects of decision support when belief functions are used to represent and manipulate uncertainty. In particular, the members publish on the following subjects:
L’objet du projet PSCHITT_Rail est de réaliser la co-simulation ferroviaire dans un réseau urbain entre des tramways d’une part, et des véhicules et piétons d’autre part, dans le but d’améliorer la sécurité des usagers.
The first purpose of the SmartMOB (Smart MOBility) project is to encourage drivers to park their cars to continue their trips using public transport to save time, facilitate their trips, save money, to reduce greenhouse gas emissions...
L’objectif de ce projet est de repenser les recherches sur l’amélioration des performances des véhicules en intégrant la complexité des usages, par exemples les comportements des conducteurs.
L’objectif principal de ce projet est le développement d’outils méthodologiques pour la gestion et le contrôle de situations de crises en termes de résilience. Les systèmes considérés sont des systèmes sociotechniques tels que la coopération entre opérateurs humains et robots mobiles de type UGV (Unmanned Ground Vehicles) en milieu hostile (incendie, inondations, etc.).
The objective of this project is the creation of a transnational evaluation tool for alternative mobility projects that will take into account the following elements: Mobility (efficiency, travel time ...), economic development, quality environmental protection, safety and consumer satisfaction.
The objective of this project is to illustrate how partial information can be exchanged in the context of inter-vehicle communication, for example to warn the driver of a potentially dangerous event (accident, obstacles on the road, braking, ...) or to assist him/her (find a free parking space, avoid traffic jams, be informed in real time of traffic conditions).
arswarm is a set of bash and expect scripts to connect and configure multiple Parrot drones on the same unencrypted network.
An interactive demo of the CVRPED model allowing one to represent uncertainty on customer demands in the Capacitated Vehicle Routing Problem (CVRP) using the Dempster-Shafer theory of evidence.
Similar (Simulations with Multi-Level Agents and Reactions) is a Multi-Level Agent-Based Modeling formal meta-model based on the Influence Reaction model.
Similar2Logo is a Logo-like multiagent-based simulation environment based on the Similar API and released under the CeCILL-B license.
VMES (Vehicle Message Exchange Simulator) is a simulator developed in Matlab™